(Photos: by Liu Yang)


RAMS Seminars are open to all interested in the RAMS field and target professors, researchers, Ph.D. candidates, master students and postdocs at NTNU. It shall bring together researchers and students to have an academic exchange, share and discuss their research. The seminars take place every two weeks on Wednesdays, 13:00-14:00, at Møteroom 216 PUMA, Gløshaugen Verkstedteknisk.

The topics and speakers are shown in the table below. If you want to be on the list to present, please email: asmae.bni@ntnu.no.

NB: The seminars are also on Teams, feel free to join.


Program 2023 Autumn

WhenWhoWhat
10.11.2023

Francesco Piraino

Title

Research experiences on hydrogen technologies in Italy


Presentation description

The brief presentation is an overview of the main scientific activities of Francesco Piraino, along with the main research lines of the "Fuel Cell and Hydrogen Research Team" of the University of Calabria. Among them, particular focus is on fuel cell-based powertrains and hydrogen refueling infrastructures, investigated by numerical and experimental models and developed also in international research centers. In addition, the equipment of the Fuel cell and Hydrogen research labs (at the University of Calabria) is shown.


Speaker introduction

Francesco Piraino is a Post doc Fellow and Assistant lecturer of "Power systems" at the Department of Mechanical, Energy and Management Engineering of the University of Calabria. He is conducting a visiting period at the Norwegian University of Science and Technology, investigating hydrogen safety topics. His main research interests concern the hydrogen systems, e.g. fuel cells and electrolyzers, and their principal applications, such as fuel cell-based powertrains and hydrogen refueling infrastructures. He obtained the European PhD in 2020, with a thesis on the analysis of hydrogen-based systems for railways by means of numerical and experimental modelling. He carried out a 6-month internship at the California State University of Los Angeles and a 3-month internship at the University of Birmingham. He is the author of 20 papers, with a h-index of 10 (https://orcid.org/0000-0003-1302-2631).


Niclas Flehmig

New PhD Candidate self- introduction

Hi everyone,

I’m Niclas, the new PhD Candidate in the RAMS group. I am from Germany and received both my degrees (Bachelor and Master) from the Technical University of Munich. During my master’s degree, I specialized on applied machine learning for technical processes. I wrote my master’s thesis here at the MTP department on the topic of Predictive Maintenance for a Salmon Farm. Now, I will work on potential AI usage in CO2 capture within the SUBPRO-Zero project. Next Friday, I would like to give a short presentation on myself, and I’d be happy to get know some of you.

11.10.2023

Alessandro Campari 

Title:

Evaluation of the tensile properties of X65 pipeline steel in compressed gaseous hydrogen using hollow specimens.


Abstract:

Hydrogen has great potential into the decarbonization process of the energy and transport sectors, thus helping to mitigate the urgent issue of global warming. It can be sustainably produced through water electrolysis with potentially zero emissions, and efficiently used in fuel cell systems. Despite its environmental advantages, hydrogen is an extremely flammable substance and its interaction with most metallic materials could result in their mechanical properties degradation to an extent that could make them inherently unsafe. Extensive material testing under realistic operating conditions is required to determine the criteria under which hydrogen-induced damage is to be expected. In-situ slow strain rate tensile (SSRT) test is an option that allow the quantification of the behavior of metals in hydrogenated environments. The standardized procedure for testing in-situ the pressurized gaseous hydrogen effect on metals consists of the utilization of an autoclave as a containment volume. Testing inside an autoclave is difficult, expensive, and time-consuming, and requires specialized equipment and trained personnel. A relatively recent method to circumvent these issues and provide affordable and reliable test results consists in using hollow specimens as the gas containment volume, thus applying the hydrogen pressure inside rather than outside the specimen. This experimental setup allows us to minimize the volume of hydrogen and perform the tests safely and effectively. This study focuses on the evaluation of tensile properties of X65 vintage pipeline steel tested in a high-pressure hydrogen environment using hollow specimens. A constant nominal strain rate of 1ꞏ10-6 s-1 is applied. Tests are performed at several pressure levels (from 6 to 20 MPa) to evaluate the effect on the reduced area at fracture (RA). In this way, this study provides insights on the applicability of novel, reliable, and safer testing method which can be used to assess HE, particularly in relation with hydrogen-induced loss of ductility in metallic material.

ICSI 2023.pdf


27.09.2023

Sutthipong Yungratog

The meeting is in Gløshaugen Verkstedteknisk 5. etasje Møterom P525 (307_p525).


Title: "A Conceptual Framework for Assessing Risks for Data Protection Impact Assessment Process in Maritime Industries".

Abstract - Personal data is used to define customer requirements. Organizations should securely collect and process such data, using data protection policies aligned with the applicable regulations. The General Data Protection Regulation (GDPR), an EU data protection law, has include a data protection assessment method called Data Protection Impact Assessment (DPIA) to ensure personal data security. The maritime industry is also concerned about personal data protection. However, there is a still a lack of practical methods to assess data protection risks. This article aims to introduce the conceptual framework for a new method for risk assessment in maritime systems, using DPIA and various systems-theoretic risk approaches as a conceptual basis. The ICT system is a central system in which personal data is utilized in the architecture of maritime systems. In this article, this system will be taken as a basis for illustrating the newly proposed method for personal data security risk assessment in a DPIA context. The conceptual framework will be further concretized and tested in follow-up research.

About the speaker:

Mr. Yungratog is a PhD candidate in Information Technology Management, Mahidol University, Thailand. His research is in the data protection and risk assessment in maritime area.

He is currently member of Norway-ASEAN Consortium in Risk Management for Safer and Sustainable Ocean (322410 - NORGLOBAL2). His research interests include several aspects of Human Computer Interaction, Information Technology, Data Protection, Risk assessment, System Analysis, and Business Analysis.

13.09.2023

Donghun Lee

Reem Nasser

Lucas Claussner

Visiting Researcher Self-introduction

Donghun Lee:

Hello. My name is Donghun Lee. I’m from South Korea. 

I received my bachelor's degree and master's degree from INHA University in Korea.

When I was an undergraduate, my department was naval architecture and ocean engineering.

And in my master's course, I conducted research on autonomous ships.

My main research field is the design of avoidance system for autonomous ships using collision risk index.

Now, I’m in charge of developing a risk model to analyze the human factors of fishing boat accidents.

To develop a human reliability analysis method optimized for fishing vessels, I plan to analyze human risk cases that may occur in fishing vessels and improve the existing HRA method.


New Ph.D. Candidate Self-introduction

Reem Nasser:

I'm Reem Nasser, a PhD candidate in RAMS group of NTNU who has just joined in August 2023. I have earned my B.Sc. degree in Petrochemical Engineering from the British University in Egypt. Being passionate about Energy systems, I joined the Masters of Science program for Renewable Energy with a focus on energy conversion and self-cleaning coatings for PV applications. I have also gained experience in the field of education through working as an Assistant Lecturer in the Department of Chemical Engineering for five years.  In addition to that, I have participated as an industrial trainer to deliver a course with the title of "Industrial Coatings. The title for my PhD is Risk Management and Production Assurance of Future Energy Infrastructures TO MITIGATE NATECH HAZARD.

Introduction_Reem.pdf


New Ph.D. Candidate Self-introduction

Lucas Claussner:

From: Leipzig, Germany

Studies: Mechanical Engineering/Industrial Engineering

Thesis: Liquid Hydrogen applications in mobility + LH2 Thermodynamics

PhD-Topic: Simulation of LH2 thermodynamics in accident scenarios

30.08.2023

Ph.D. Candidate

Wanwan Zhang

Tianqi Sun


Title: Statistical analysis of offshore wind turbine failures

Abstract: This paper aims to investigate the characteristics of offshore wind turbine failures. Four hypotheses about failure features are proposed and strictly examined by statistical tests. Cox model is chosen to model the failure process. Three forms of covariates are designed to research their influence on failures. Their coefficients are obtained by maximum likelihood estimation, and the Breslow estimator is calculated. Finally, goodness-of-fit tests verify the assumptions of the Cox model. Results from long-term models show that wind significantly favors the growth of the baseline hazard. However, temperature and production mildly reduce it. The effects will gradually become stable if the accumulation time increases. Similar results are observed in models with principal components of covariates. A comparison of models suggests the highest likelihood belongs to models with three accumulated covariates.

About Speaker: Wanwan Zhang has a B.E in Safety engineering from China and a M.Sc. in RAMS from NTNU. She started her Ph. D right after her M.Sc in RAMS in September 2021. The title of her Ph.D is Predictive Maintenance and Decision Support for Asset Management, which belongs to NorthWind (Norwegian Research Centre on Wind Energy) co-financed by the Research Council of Norway, industry, and research partners.


Title: A phase-type maintenance model considering condition-based inspections and delays before the repairs

Abstract: Markov models are widely used in maintenance modelling and system performance analysis due to their computational efficiency and analytical traceability. However, these models are usually restricted by the use of exponential distributions, which are the base of the Markov modelling. Phase-type distributions provide a tool to approximate an adequate distribution, such as Weibull, log-normal and so on, by means of Markov processes. Our earlier work proposes a phase-type maintenance model considering both condition-based inspections and delays before the repairs, where extra matrices are defined in the modelling of repair delays to keep track of the probability masses to repair. The model provides quite good estimations but is complex and requires good knowledge in its implementation. This paper aims to get rid of the extra matrices and investigate the modelling of the repair delays with phase-type distributions. An illustration case of road bridges is presented to demonstrate the modelling process and the results.

About Speaker: Tianqi Sun has a B.E. in Safety Engineering from China and a M.Sc. in RAMS from NTNU. After almost three years work as safety engineer in a car manufacture in China, he started his Ph.D. in September 2020. The title for his Ph.D. is Strategies and Criteria for Preventive and Corrective Maintenance, which belongs to a project named SMARTer Maintenance between Statens Vegvesen and NTNU.


Tianqi Sun - ESREL 2023.pdf


Program 2023 Spring

WhenWhoWhat


No more meetings until September due to the holiday season
08.06.2023

Ph.D. Candidate

Elena Baboi

Asmae Bni


New Ph.D. Candidate Self-introduction

About Elena Baboi:

Elena Baboi was born in 1989 in Tulcea, Romania. She attended a natural science centred curriculum at a theoretical high school in the same city. In 2012 she obtained her Bachelor in Engineering for Chemical engineering in English diploma upon graduating an organic synthesis/technologies focused curriculum at the Faculty of Engineering in Foreign Languages, Politehnica University of Bucharest, Romania. She also has a Master in Engineering for Chemical Engineering from the Faculty of Applied Chemistry and Material Science, Politehnica University of Bucharest, Romania. During her master she took part in an Erasmus double diploma program. She is currently a PhD candidate at the Department of Mechanical and Industrial Engineering, NTNU where she is taking part in the EU project “HyInHeat”, Hydrogen technologies for decarbonization of industrial heating processes. Her project is titled “Safe Operations in Hydrogen-based Industry” and will cover safety guidelines for the steel and aluminium manufacturing processes as they will be retrofitted to permit the use of hydrogen. 

Self-introduction Elena Baboi.pdf


Title:Cyber-physical attacks detection mechanisms: Case Study Autonomous Systems

Abstract: Cyber physical systems have evolved from automated systems to connected and autonomous systems. The threat landscape has since increased requiring integration of various security defense mechanisms into these systems. The Intrusion detection systems are one of these mechanisms and this presentation is a summary of the different attack detection schemes that are used in autonomous systems.

About Speaker: 

Asmae Bni has a bachelor’s degree in computer science and a master’s degree in cryptography and information security. Before joining NTNU, she worked almost 7,5 years in the cyber security field as an engineer. Her work experience is in security testing and secure development.

Her PhD topic is about integrating safety and security in autonomous systems design against cyber-physical attacks.

25.05.2023Dr. Huixing Meng

Title: Prognostics of Health and Risk for Lithium-ion Batteries

Abstract: Lithium-ion batteries has been widely applied in household and industrial domains. As a significant concern for related manufactures and consumers, the health and risk of lithium-ion batteries will be successively discussed in this talk. In the first part of the presentation, based on the long short-term memory network with Bayesian optimization, we will illustrate a battery prognostics method using random segments of charging curves, aiming at improving the flexibility and applicability in practical usage (Ref.: https://doi.org/10.1016/j.ress.2023.109288). In the second part of the presentation, we will introduce a methodology for dynamic risk prediction by integrating fault tree, dynamic Bayesian network and support vector regression (Ref.: https://doi.org/10.1016/j.psep.2023.01.021). The work discussed in this presentation is expected to be an alternative for health and risk management of lithium-ion batteries.


About Speaker: Huixing Meng received the B.Sc. degree in Safety Engineering and the M.Sc. degree in Safety Technology and Engineering from the China University of Petroleum (East China), Qingdao, China, in 2011 and 2014, respectively. He obtained the Ph.D. degree in Computer Science from the Ecole Polytechnique, Paris, France, in 2018. He is currently an Assistant Professor in the Department of Safety Engineering, Beijing Institute of Technology, Beijing, China. Previously, he was a postdoctoral research associate in the Department of Industrial Engineering, Tsinghua University, Beijing, China. His major research interests include risk assessment, emergency techniques, and predictive maintenance for energy systems. He has published over 30 academic papers and applied 8 national invention patents. He has also been granted a project from Natural Science Foundation of China (NSFC) and an international exchange project from Ministry of Science and Technology of China (MOST). He serves as the editorial board member of Safety Science and International Journal of Reliability and Safety.


11.05.2023

Ph.D. Candidate Giulia Collina

Farhana Tuhi 


Intern student:

Baptiste Decker

Tom Espinosa 


The meeting is in Gløshaugen Materialteknisk 3. etasje Holand (308_3-169)


New Ph.D. Candidate Self-introduction

About Giulia Collina: 

Giulia Collina was born in Ascoli Piceno, Italy, in 1999. She studied at the scientific high school in the same city and then moved to Bologna to start the University. She got her BSc in Chemical and Biochemical Engineering in July 2020 and her MSc in Chemical and Process Engineering in February 2023. She spent the fall semester of 2022 at NTNU working on her master’s thesis titled “Consequences associated to the Boiling Liquid Expanding Vapour Explosion for liquid hydrogen tanks: assessment and mitigation”. In March 2023, she started her Ph.D. at the Department of Mechanical and Industrial Engineering (MTP). The research project is titled “Loss Prevention and Maintenance Modelling for Hydrogen-based Industry” and it is part of the Horizon Europe project H2GLASS - advancing Hydrogen (H2) technologies and smart production systems TO decarbonise the GLass and Aluminium SectorS.

self introduction _ Giulia Collina


About Farhana Tuhi:

I am Farhana and I am from Bangladesh. I have started my PhD last month after completing my masters in RAMS engineering. My research topic is ' Reliability and resilience of green hydrogen production process'. 

self introduction _ Farhana Tuhi



Self-introduction for new intern students from INSA-Lyon

About Baptiste Decker:

I'm a french student, I'm 21 years old. I was born in the South of France, in Fréjus. I'm in 4 years of my Engineering Degree in a specialization in Energy and Environment. I want to work in the nuclear field or doing carbon footprint studies of company to help them reduce their CO2 emission. I'm here in Trondheim for 5 months to make a Research Internship. I'm part of the SUSHy project with my tutor Dimitrios. During this internship, I'm going to apprehend the characteristics of hydrogen and then study Hydrogen Refueling Station and analyze accidents to reduce their probability by doing safety measures part of the risk management. Out of the work, i like to hike, listen to music and i love automobile.

self introduction _ Baptiste Decker


About Tom Espinosa:

My name is Tom Espinosa I am 21 years old and I come from Lyon (a beautiful city in France)

In France I am studying  energy and environmental engineering at INSA Lyon.

I am very interested in the automotive sector and transportation in general, and especially in the issues related to this sector in order to have more virtuous means of transportation.

I am convinced that hydrogen can help this field to reduce its carbon emissions

That is why I am at NTNU for a 5  months research internship to do my master thesis on hydrogen embrittlement due to fatigue in pipeline steel. My purpose is to set up a security protocol which will allow to know if it is safe or note to use and existing pipeline by taking account all parameters which have an effect on Hydrogen embrittlement

self introduction _ Tom Espinosa

27.04.2023

Ph.D. Candidate

Leonardo Giannini



The meeting is in Gløshaugen Verkstedteknisk 5. etasje Møterom P525 (307_p525).


Title: Inspection Planning in the Marine Sector: a Case Study of a Hydrogen-Fueled Fishing Vessel

Abstract: 

The climate roadmap of the Norwegian fishing fleet estimates that a low environmental impact technology can contribute to significantly reduce greenhouse gas emissions by 2030, but the implementation of electricity in the marine sector is today almost only appealing for ferries, which in many cases have daily access to recharge stations. In fact, considering the longer working sessions of fishing vessels, the additional weight of batteries, and the considerable occupied volume, it is reasonable to discuss hydrogen-fed fuel cells as a more viable solution. Unfortunately, inspection planning, maintainability and in general safety aspects are yet to be consolidated topics of hydrogen technologies in most of their applications, including the marine sector. Against such background, this paper discusses a case study of a hydrogen-fueled fishing vessel, focusing on risk-based inspection (RBI) and maintenance planning as a way to significantly decrease safety-related uncertainties and optimize the associated operations. The hydrogen-induced degradation mechanisms present in the standard API RBI 581 have been considered to investigate how the existing methodologies might lead to an underestimation of the risks associated with the equipment selected for the fishing vessel. In addition, a discussion regarding the limitations in the applicability of standard RBI planning with respect to hydrogen technologies is carried out as an overall result, along with the limits of the implemented approach.

About Speaker: Leonardo Giannini graduated from the faculty of engineering at the University of Bologna. His bachelor’s degree was mainly focused on energy production systems, conversion of energy, and nuclear power plants. And he has a master's degree that focuses more on sustainable energy sources. He also has working experience as a project engineer for a company that produces refrigeration systems. His PhD topic is inspection planning and maintenance for hydrogen technologies.



13.04.2023

13:00-14:00

To be decided

To be decided

cancelled 

30.03.2023

13:00-14:00

Ph.D. Candidate

Yixin Zhao

Title: Condition-based maintenance for a multi-component system subject to heterogeneous failure dependences

Abstract: Many industrial facilities consisting of multiple components are prone to failure interactions and degradation interactions. In such systems, these interactions are frequently characterized by failure dependences that may accelerate the degradation of components. Due to system layout and functional interactions, not all components have the same failure dependence. In the general context of complex failure dependences in dependent multi-component systems, heterogeneous failure dependences further complicate the maintenance activities during operation. In the present study, a framework to evaluate the heterogeneous failure dependences and develop a maintenance optimization model for multi-component systems by Markov processes is developed. The proposed method is applied to a practical case consisting in a parallel subsea transmission system to illustrate the effects of heterogeneous failure dependences. The results show that the heterogeneous failure dependences framework and maintenance model guides the optimization of maintenance strategies to maximize the system availability and minimize the maintenance cost.

About Speaker: Yixin Zhao has a B.E. and M.E. in Safety Engineering and Science from China. She started her Ph.D. in Octorber 2020 at RAMS group, MTP, NTNU, with main supervisor Yiliu Liu and co-supervisor Jørn Vatn. 

23.03.2023IEEE webinar 

12:00-12:10 Photo session & Introduction

12:10-12:35 Talk 1 Mr. San Giliyana (MDU/MITC): Smart Maintenance Technologies for the Manufacturing Industry

12:35-13:00 Talk 2 Dr. Haizhou Chen (LTU): Physics-based modeling with Simscape/simulink: introduction and applications in PHM project

ZOOM MEETING ID: 902 728 5345; PASSWORD: 167528

16.03.2023

13:00-14:00

Ph.D. Candidate

Muhammad Gibran Alfarizi

Title: Data-driven design for fault diagnosis and prognosis: Application to technical processes

Abstract

In this RAMS seminar, I will present the results of my Ph.D. project. The main objective of my Ph.D. project is to design efficient fault diagnosis and prognosis techniques for technical processes using data-driven methods that consider the operating conditions of the process. Specifically, the goals of this thesis are stated as follows:


  1. Develop an efficient fault diagnosis system for the technical process that detects, classifies, and identifies the root causes of faults using only available process data. The system should achieve high classification accuracy, fast diagnosis time, and provide interpretable root cause analysis.
  2. Design a reliable fault prognosis system for the technical process that selects appropriate health indicators to accurately predict the remaining useful life (RUL) using data-driven methods. The proposed method should be applicable in industry and overcome the limitations of standard techniques.
  3. Develop an accurate predictive model for assessing future operating conditions under industrial settings to prevent catastrophic accidents. The proposed model should enable the selection of appropriate mitigation and risk reduction measures to enhance safety.
  4. Demonstrate the developed data-driven fault diagnosis and prognosis approaches on industrial benchmarks or experiments that accurately represent complex industrial processes under varying operating conditions.


In this thesis, one industrial benchmark process and two experiments are utilized to evaluate the effectiveness of the proposed approaches for fault diagnosis and prognosis purpose.

About Speaker: Muhammad Gibran Alfarizi has a B.Sc. in Petroleum Engineering from Indonesia and a M.Sc. in Petroleum Engineering from NTNU. His research interest include data driven modeling and machine learning. He started his PhD in August 2020. The project title of his Ph.D. is The Digital Transformation and Data-Driven Methods in the Reliability of Safety Systems. 

02.03.2023

13:00-14:00

Ph.D. Candidate

Andrie Pasca Hendradewa

Jie Liu

New Ph.D. Candidate Self-introduction

About Andrie Pasca Hendradewa:

Andrie come from Yogyakarta, Indonesia for his PhD at MTP NTNU. He is also an Assistant Professor in Dept. of Industrial Engineering Universitas Islam Indonesia, Yogyakarta. He has worked in Indonesia for 9 years with various experience and research journey, namely: information system design (undergraduate thesis), web design (as UI/UX designer), human computer interaction (master degree thesis), optimization, and machine learning. Since four years ago, he has been appointed by Indonesia Ministry of Communication and Informatics as seasonal instructor in Python programming, Big Data & Analytics, and Deep Learning training program in collaboration with Cisco Networking Academy and Huawei ICT Academy.

His research project is about implementing Reinforcement Learning to improve maintenance strategy which part of SUBPRO project. It will be focused on how to train an agent to be able to decide the right maintenance strategy in order to reach the optimum condition by minimizing carbon emission. He is very grateful to join RAMS group at NTNU and looking forward for a partnership and collaboration.

Self-introduction_Andrie Pasca Hendradewa.pdf


Title:   A discussion about Qualification of a Digital Twin for maintenance models 

Abstract: Digital twin (DT) is a new and popular topic for academic researchers and industries. However, whether the new technology could meet end users’ requirements and help improve the current system’s efficiency is still a challenge for the designers. Therefore, evaluating and qualifying the DT during its usage is crucial and needs more studies. We proposed an index for DT's evaluation. Then we used a DT for choke valve degradation prediction as a case study and carried out the qualification process, which follows the proposed index.  

About Speaker: Jie Liu has a bachelor’s degree in Applied Mathematics in Beijing Institute of Technology from China and a master’s degree in RAMS of NTNU. She started as a PhD candidate at RAMS group, MTP, NTNU in September 2021. Her research topic is Digital Twin Qualification for Maintenance, which is a part of SUBPRO project. 

16.02.2023

13:00-14:00

Ph.D. Candidate

Asmae Bni

Federica Tamburini

Alice Schiaroli

New Ph.D. Candidate Self-introduction

About Asmae Bni: 

My name is Asmae, I was born and grow up in Morocco. I did my bachelor studies in computer science. Then I started my master studies in cryptography and information security. I was awarded a scholarship and moved to Sweden to pursue a master’s degree in information technology with focus on communication security. I lived in Sweden for about 12 years. Before joining NTNU, I worked almost 7,5 years in the cyber security field as an engineer. My work experience is within security testing and secure development.

My PhD topic is about integrating safety and security in autonomous systems design against cyber physical attacks. I am happy to join the RAMS group at NTNU and looking forward to learning and collaborating with you.

Self-introduction_Asmae Bni.pdf


About Federica Tamburini: 

Federica Tamburini was born in Lugo, Italy, in 1996. She earned a three-year BSc degree in chemical and biochemical engineering and a two-year MSc degree in chemical and process engineering (with Honours) from the University of Bologna in 2018 and 2021, respectively.

In May 2021, she joined the University of Bologna as a research fellow at the Laboratory of Industrial Safety and Sustainability (LISES) in the Department of Civil, Chemical, Environmental and Materials Engineering (DICAM) and, after six months, in November 2021, she started her PhD research in chemical engineering. Her doctoral programme consists in a cotutelle agreement between the University of Bologna and the Norwegian University of Science and Technology (NTNU), where she is enrolled as a PhD candidate at the Department of Mechanical and Industrial Engineering (MTP). In August 2022, Federica was admitted to the Norwegian Research School of Hydrogen and Hydrogen-based Fuels (HySchool) coordinated by the University of Bergen.

Federica research project is titled “Advanced methods for the quantitative assessment of the safety of decarbonization technologies”. It looks at the development of innovative models, methodologies, and tools for the risk evaluation of Carbon dioxide Capture and Sequestration (CCS) techniques and blue hydrogen-based systems to assess the effective implementation of these new technologies in future civil and industrial applications.

Self-introduction_Federica Tamburini.pdf


About Alice Schiaroli:

I am Alice and I come from a small town in the Marche region, in central Italy. I started my studies at the scientific high school in Fano and then I moved to Bologna to attend the university for the next five years. I got my Bachelor’s degree in Chemical and Biochemical Engineering in 2020 and I finished my Master’s degree in Chemical and Process Engineering in October 2022. Since November 2022 I am a PhD candidate both at the University of Bologna and at NTNU. This is because my PhD is a cotutelle agreement between the two universities, meaning that I will spend a year of my research work here in Trondheim before coming back to Bologna to finish the research period.

My project deals with hydrogen safety, particularly the analysis of the response of hydrogen vessels in external fire conditions. I started working on hydrogen safety during my master’s thesis, which was a risk assessment of hydrogen storage tanks for hydrogen-powered buses. Now I am focused on cryogenic hydrogen tanks and I am using the skills acquired during my academic studies to study these types of equipment when exposed to an external fire.

Self-introduction_Alice Schiaroli.pptx


Note that the physical meeting will be at Gløshaugen Materialteknisk 3. etasje Holand.

02.02.2023

10:30-11:30

Hydrogen safety expert

Olav Roald Hansen

Title: Safety in current and future hydrogen applications.

Abstract: The business idea of HYEX is to provide expert advice within hydrogen and gas safety. We help projects develop safe and cost efficient solutions using quick engineering models in combination with computational fluid dynamics (CFD). This includes documenting risk for permitting processes with authorities, regulators and classification societies. The company: HYEX (https://hyexsafety.com/) is built by Olav Roald Hansen. The main ambition is to facilitate for a safe transition to a hydrogen society.

About Speaker: Olav Roald Hansen is a hydrogen safety expert. He worked for Gexcon and Lloyd Register, and now he founded his own company HYEX safety. During his nearly 30 years’ experience in the field, Olav Roald Hansen, played an instrumental role establishing FLACS as a leading CFD software. Know-how from hundreds of large-scale experiments allowed for the development of techniques making FLACS the most accurate and efficient consequence prediction tool for dispersion and explosion. HYEX is built on this knowledge. 

Program 2022 Autumn


WhenWhoWhat

15.12.2022

10:00-15:00

Ph.D. Candidate

Tom Ivar Pedersen

There will be no seminar this week. Instead, you are invited to Tom Ivar Pedersen’s defense.

  1. The trial lecture starts at 10:15 and the public defense at 13:15.
    Trial lecture: How will a future fully digitalized electricity distribution grid make a difference for planning and optimizing maintenance of the grid? – Theory and practice
    Defense: Use and development of quantitative models for maintenance decisions in the oil and gas industry on the Norwegian Continental Shelf
  2. The defense will take place in H2 in the Main Building, Gløshaugen (find your way there).

More information can be found here.

02.12.2022

10:00-15:00

Ph.D. Candidate

Renny Jose Arismendi Torres

There will be no seminar this week. Instead, you are invited to Renny Jose Arismendi Torres’s defense.

  1. The trial lecture starts at 10:00 and the public defense at 13:00.
    Trial lecture: Maintenance optimization: useful concepts from academia and existing challenges in the industry
    Defense: Piecewise Deterministic Markov Processes for Condition-based Maintenance Modelling - Applications to Critical Infrastructures
  2. The defense will take place in Room 423 in the Main Building (find your way there).

More information can be found here.

17.11.2022

Postdoc

Dimitrios Tzioutzios

Ph.D. Candidate Leonardo Giannini

About Dimitrios: Hej, I am Dimitris! I am a Spatial Planning and Development Engineer with particular research interest in disaster risk reduction and participatory risk management processes. I recently received my PhD in Human Security Engineering from Kyoto University (Japan). My doctoral research focused on risk communication, information disclosure and citizen engagement issues in the context of chemical accidents caused by natural hazards (Natech). Going beyond academic research, my work also involved the development of a serious game for raising community awareness about Natech risks and fostering stakeholder engagement. Since last month, I joined the Department of Mechanical and Industrial Engineering at NTNU as a postdoc fellow. I am currently involved with the international SUSHy Project: SUStainability and cost-reduction of Hydrogen stations through risk-based, multidisciplinary approaches. I am pleased to meet you and looking forward to collaborating with and learning from your work!

Abstract for his presentation:  After a short introduction, we will talk about how disclosing information about natural-hazard-triggered technological accidents that involve the release of hazardous materials (Natech) empowers all involved stakeholders to make comprehensive and risk-informed decisions. Our previous study ventured to explore how citizens communicate concerning Natech risk information disclosure and propose an approach to enhance community awareness. We surveyed households in Japan and S. Korea to examine how they perceived and communicated about Natech risk. Moreover, we explored the potential of serious gaming for Natech risk communication by proposing and developing EGNARIA: a novel, educational, role-playing board game considering earthquake and tsunami scenarios potentially causing subsequent chemical accidents. Our survey findings suggested that Natech accident risk is perceived as a concerning issue in both countries, however Japanese were significantly more constrained in resolving it through communication. In comparison, S. Korean respondents seemed to be more communicatively active, and more confident in responding to potential Natech accidents. Regarding the proposed serious game, EGNARIA received overall positive scores from players as an engaging, educational tool useful for introducing communities to and discussing about Natech accident risk. Concluding this presentation, we offer a brief overview of our current research project: SUSHy Project, research on SUStainability and cost-reduction of Hydrogen stations through risk-based, multidisciplinary approaches.
Keywords: Community Participation, Disaster Risk Management, Natech, Risk Communication, Serious Gaming.

Self-introduction_Dimitrios Tzioutzios.pdf

About Leonardo: I come from Pesaro, a small city in the east cost of Italy near Bologna. Starting this little recap of my life, I want to mention that I attended a “Scientific Highschool” in Pesaro, focusing on physics, chemistry, mathematics, and biology. There, I discovered my passion for engineering, and so I decided to try to make a living out of it, applying to the faculty of engineering at the University of Bologna.

My bachelor’s degree was mainly focused on energy production systems, conversion of energy and nuclear power plants. During my master, I decided to focus more on sustainable energy sources: I attended courses about solar energy, ground-coupled heat pumps, pollutant production and plasma technologies.

A fairly solid thermo- and fluid- dynamic background allowed me to realize a study on transport pipes for liquefied natural gas (LNG), to investigate boil-off gas production in relation to pipe insulation. This was my first experience with “unconventional” fuels and a good result allowed me to join the Hydrogen Team here at NTNU to write my master’s thesis last year.

From LNG I therefore moved to Hydrogen, and my final thesis focused on the analysis of the overpressure generated by the explosion of a Liquid Hydrogen vessel ().

At the start of this year, I came back to Italy where I happily graduated with the maximum of grades and immediately started working as a project engineer for a company that produces refrigeration systems.

Despite liking the new work, my main goal was to come back at NTNU, where I felt I had some “unfinished business” and since I was interested in academic research. Hence, I applied for a position about hydrogen safety and here I am, happy to be back here with all of you.

Now I moved from consequence analysis to inspection planning and maintenance for hydrogen technologies, so I have to (and I will) learn a lot of new stuff, surely finalizing this PhD and hopefully contributing to a little expansion of our current scientific understanding.

Self-introduction_Leonardo Giannini.pdf

03.11.2022

Ph.D. Candidate

Alessandro Campari

Title: Hydrogen Material Damage in a Safety Assessment Perspective

Abstract: Hydrogen as an energy carrier, particularly when combined with renewable sources, can make countries energetically self-sufficient and independent in the long term. Nevertheless, its extreme combustion properties, along with the capability of permeating and embrittling most metallic materials, produce significant safety concerns. The European Hydrogen Incidents and Accidents Database (HIAD 2.0) is a public repository that collects data on hydrogen-related undesired events. An analysis of the database through Business Analytics tools is carried out, mining hidden information from the accident reporting system. In addition, several hydrogen-induced material failures are investigated in-depth to learn about their root causes and consequences. As a result, a deficiency in planning effective inspection and maintenance activities to avoid loss of containment of hydrogen technologies is highlighted as a common cause which determines the accidents with the most severe consequences. A Risk-Based Inspection (RBI) approach is recommended for the inspection and maintenance planning of hydrogen technologies. The newest updates in this perspective are provided.

About Speaker: Alessandro Campari has a BSc in Energy and Nuclear Engineering and a MSc in Renewable Energy Engineering, both from the University of Bologna (Italy). He is doing a PhD at the Department of Mechanical and Industrial Engineering at NTNU. His research project is titled “Loss prevention and operational safety of hydrogen technologies” and aims to investigate the hydrogen-induced degradation mechanisms of industrial equipment, their modelling, and monitoring. At present, Alessandro is involved in two research projects on hydrogen safety: the European H2CoopStorage and the Euro-Japanese SUSHy. In addition, he has been actively involved in the organization of the activities of the Norwegian doctoral school HySchool, where he is Student Board Representative for NTNU.

Note that the physical meeting will be at Gløshaugen Materialteknisk 3. etasje Holand.

20.10.2022

27.10.2022

15:00-16:00

(Digital Only)

Chi Ji

Title: Autonomy safety and SOTIF (Slides are only for internal use, contact sun.tianqi@ntnu.no if you need it)

Abstract: The presentation will start from the introduction of key technologies in autonomous driving and challenges in autonomy safety. SOTIF (safety and intended functionality) will be then presented, including the approach of SOTIF analysis, acceptance criteria and SOTIF validation targets, followed with examples of calculation methods.

About Speaker: Mrs. Ji has master’s degrees in both engineering and business administration. She has 12 years of working experience in automobile industry (including airbag, braking and autonomous driving). From 2010 to 2018, Mrs. Ji worked at Autoliv and ZF, she was in charge of the functional safety aspects of airbag and braking systems. After 8 years’ in Tier1, Mrs. Ji joined the SAIC Autonomous Driving Center, her main job was focused on L2+ autonomous driving, as well as system level safety analysis work.  Last year she joined UL and become an Autonomy safety consultant.

06.10.2022

05.10.2022

Ph.D. Candidate Michael Pacevicius

There will be no seminar this week. Instead, you are invited to Michael Pacevicius’s defense.

  1. The trial lecture starts at 08:00 and the public defense at 09:30.
    Trial lecture: Artificial Intelligence for Risk Management: Fundamentals and Application
    Defense: Optimization of Information Management for Dynamic Risk - Analysis of Large-scale Power Grids
  2. The defense will take place in Møteroom 216 PUMA, Gløshaugen Verkstedteknisk and via Zoom.
    Join Zoom Meeting

    https://NTNU.zoom.us/j/92182090694?pwd=M0NVWFc4NlBxMStlQisyZUxnQTlDdz09

    Meeting ID: 921 8209 0694
    Passcode: 742961 

More information can be found here.

22.09.2022

Ph.D. Candidate

Muhammad Gibran Alfarizi

Title: Machine learning application for RUL prediction of experimental bearings and liquid hydrogen releases 

Abstract: Bearings are essential to the reliable operation of rotating machinery in manufacturing processes. There is a rising demand for accurate bearing remaining useful life (RUL) predictions. The data-driven technique for predicting RUL of bearing has demonstrated promising prospects to facilitate intelligent prognostics. This paper proposes a new data-driven prediction framework for bearing RUL utilizing an integration of empirical mode decomposition, random forest, and Bayesian optimization. The proposed framework consists of two main phases: feature extraction and RUL prediction. The first phase of this framework focused on decomposing the empirical input signals using empirical mode decomposition into distinct frequency bands to filter out irrelevant frequencies and determine the fault characteristics of the signals. In the second phase, the RUL prediction is then carried out by an RFs-based model with its hyperparameters tuned by Bayesian optimization. The proposed approach is validated using datasets obtained from an actual run-to-failure experiment of roller bearings. The experiment results significantly improved compared to the standard data-driven and stochastic approaches. (The paper can be found here).

Hydrogen can be adopted as a clean alternative to hydrocarbons fuels in the marine sector. Liquid hydrogen (LH2) is an efficient solution to transport and store hydrogen onboard of large ships. LH2 will be implemented in the maritime field in the near future. Additional safety knowledge is required since this is a new application and emerging risk might arise. Recently, a series of LH2 large-scale release tests was carried out in an outdoor facility as well as in a closed room to simulate spills during a bunkering procedure and inside the ship’s tank connection space, respectively. The extremely low boiling point of hydrogen (-253°C) can cause condensation or even solidification of oxygen and nitrogen contained in air, and thus enrich with oxygen the flammable mixture. This can represent a safety concern since it was demonstrated that a burning mixture of LH2 and solid oxygen may transition to detonation. In this study, the experimental data of an LH2 release test series recently carried out were analysed by means of an advanced machine learning approach. The aim of this study was to provide critical insights on the oxygen condensation and solidification during an LH2 accidental release. In particular, a model was developed to predict the possibility and the location of the oxygen phase change depending on the operative conditions during the bunkering operation (e.g. LH2 flowrate). The model demonstrated accurate and reliable predicting capabilities. The outcomes of the model can be exploited to select effective safety barriers such as a water deluge system to prevent the oxygen change phase.

About Speaker: Muhammad Gibran Alfarizi has a B.Sc. in Petroleum Engineering from Indonesia and a M.Sc. in Petroleum Engineering from NTNU. His research interest include data driven modeling and machine learning. He started his PhD in August 2020. The project title of his Ph.D. is The Digital Transformation and Data-Driven Methods in the Reliability of Safety Systems. 

08.09.2022

Postdoc

Xingheng Liu

Title: Spatial-temporal interpolation for condition monitoring: an application to choke valves

Abstract: Critical systems such as subsea choke valves works under a time-varying operating condition (TVOC), which makes it challenging to estimate the system’s health state since the health indicator (HI) may be recorded under different TVOC. State-space models together with Particle Filter are widely used for system identification when the functional forms of the relationship between TVOC and HI are explicitly given. However, assumptions on how the TVOC can influence the observation and the growth of HI are generally hard to validate in practice.

In this presentation, we introduce the spatial-temporal interpolation methods for state estimation and prognosis for subsea choke valves.  Spatio-temporal interpolation is the task of estimating the unknown values of some property at arbitrary spatial locations and times, using the known values at spatial locations and times where measurements were made. The estimated property varies with both space and time, with the assumption that the values are closer to each other with decreasing spatial and temporal distances. For subsea choke valves, the HI (flow coefficient deviation) is the quantity to be interpolated, the operating condition (percent travel) constitutes the 1-D space dimension and the timestamps at which the observations were made form the time dimension. Two popular methods, namely spatial-temporal Inverse Distance Weighting and Universal Kriging, are fitted to the data, before being compared to some other competing models (ARIMA, Wiener process…) We highlight the difference between the fundamental assumptions in these models and showcase the pros and cons of each model in terms of forecasting.

Keywords: condition monitoring, state estimation, spatial-temporal interpolation, Kriging, Forecasting.

25.08.2022

10:00-11:00

Ph.D. Candidate

Tom Ivar Pedersen

Title: Industry 4.0 and Smart Maintenance

Abstract: In this RAMS seminar, I will present the results of my Ph.D. project, which is soon to be completed. My Ph.D. project belongs to the research program BRU21. BRU21 stands for Better Resource Utilization in the 21st century and is NTNU’s research and innovation program in digital and automation solutions for the Norwegian oil and gas industry. The main objectives of my Ph.D. project have been to explore how the introduction of digital solutions and concepts from Industry 4.0 to maintenance can help improve the competitiveness of this industry sector.

Opponents: Postdoctoral fellow Xingheng Liu, PhD Candidate Endre Sølvsberg


Program 2022 Spring


WhenWhoWhat
--No more meetings until August due to the holiday season

02.06.2022

09.06.2022

Guest Ph.D. Candidate

Théo Serru

Title: Modeling Cyberattacks Propagation in Cyber-Physical Systems using Discrete Event Simulation

Abstract: Cyber-Physical Systems (CPS) are more and more used in our everyday life. Such systems are safety critical as they can have catastrophic effects on their environment and users. To lower the risks of safety critical situation, model-based safety assessments (MBSA) of such systems have been developed and used in industry. However, the very nature of CPS makes them vulnerable not only to accidental failure but also to cyberattacks.

Thus, this seminar will present an approach based on discrete event systems to analyze the effects of multi-step cyberattacks on the safety of CPS. We show how to represent systems, their components (either software and/or hardware), links, security measures, and attacks from a malicious intruder. We then show how the formal modeling language AltaRica, primarily dedicated to safety analyses, can be used to assess cyberattacks by representing the system and extracting automatically sequences of attacks leading to a safety critical situation.

Finally, as the extraction of sequences is subject to state-space explosion, we will introduce a new notion called footprint. This cutoff allows to consider the dependent nature of cyberattacks to lower the state-space and reduce the number of sequences generated to keep the more likely (without using probabilities).

About Speaker: Théo Serru is a PhD candidate in a thesis funded by CY initiative excellence and Apsys-Airbus. The subject of his research is the formal modeling of safety and cybersecurity properties on cyber-physical systems. He is also a dependability engineer graduated from the engineering school Polytech Angers.

19.05.2022

Ph.D. Candidate

Yixin Zhao

Title: An Extended Cascading Failure Model for Loading Dependent Systems with Multi-state Components

Abstract: Many production systems consisting of multiple components are vulnerable to the cascading failures, and one example is that the overloading of a component will also affect the other components. Such loading dependence can result in failure propagation and make the systems unavailable and the maintenances more challenging. In this study, we develop a multistate CASCADE model for evaluating the propagation process of cascading failures in loading dependent systems. The multinomial distribution is applied and derived to represent the probability of total number of overloading components and failures. Probability distributions of cascading process stop scenarios are also developed. Numerical examples are investigated with the proposed model for evaluating the factors influencing the probability distributions of total number of failed and overloading components, as well as the occurrences of three stop scenarios. The multi-state CASCADE model and numerical study can provide reference for optimization of some controllable variables in design or maintenance of a general loading dependent system subjected to cascading failures.

About Speaker: Yixin Zhao has a B.E. and M.E. in Safety Engineering and Science from China. She started her Ph.D. in Octorber 2020 at RAMS group, MTP, NTNU, with main supervisor Yiliu Liu and co-supervisor Jørn Vatn. 

05.05.2022

Ph.D. Candidate

Wanwan Zhang

TitleCondition-based opportunistic maintenance of cascaded hydropower stations

Abstract: The purpose of this paper is to build a new condition-based opportunistic maintenance (CBOM) model. It combines short-term hydro scheduling (STHS) and generator maintenance scheduling (GMS) by failure property. One generator in a cascaded hydro system is used as research example. CBOM model schedules 9 maintenance activities in one year for this generator. Sensitivity analysis reveals that this model offers sufficient flexibility to modify scheduling plans based on maintenance requirements. In all the parameters, accident penalty cost and maintenance duration have no effect on maintenance results. Upper and lower limits of failure probability influence the number of maintenance activities. Compared with age-based maintenance (ABM), CBOM strategy obtains more profits and cancels unnecessary maintenance activities by trade-off between operation and maintenance.

21.04.2022

28.04.2022

(12:00-13:00)

Postdoctoral Fellow

Federico Ustolin

Title: Modelling of accident scenarios from hydrogen transport and use

Abstract: Hydrogen is one of the best candidates in replacing fossil fuels in order to tackle global warming and decarbonise the energy sector. Therefore, hydrogen could be employed in new applications (viz. road transport, maritime, aviation) from which emerging risks might arise. Knowledge gaps for many phenomena still exist for hydrogen. In particular, the behaviour of cryogenic liquid hydrogen during some accident scenarios (e.g. physical explosions) is still unknown. Thus, different research questions emerge: how a cryogenic liquid hydrogen tank performs when exposed to a fire? And what are the consequences of its catastrophic rupture? Are the risk-based inspection methodologies effective for hydrogen technologies? The answers to these questions and an overview on hydrogen safety research carried out at NTNU by the RAMS group will be provided during the seminar.

About speaker: Federico Ustolin graduated in Mechanical Engineering at the University of Trieste, Italy. In July 2021, he was awarded a PhD in Mechanical Engineering by NTNU. Since 2018 Federico has been part of the RAMS group at NTNU, he is currently Postdoctoral fellow at MTP, and his research focuses on hydrogen safety. In November 2021, he got the Hydrogen Europe Research Young Scientist Award 2021 for the cross-cutting pillar.

07.04.2022

Ph.D. Candidate

Emefon Dan

Title: Performance assessment of redundant strategies for multi-component system subject to random shocks

Abstract: Redundancy is often essential for achieving high system availability. An additional benefit of installing redundant components is that the total system load can be shared among the components. While the system may benefit from having more redundant components, the active components often share a common source of random failure (shocks) which may lead to unexpected system downtime. In this study, we analyse the performance of two redundant strategies: active strategy, where all the components are running from the start and benefit from load sharing but are exposed to a common source of random shocks and a passive redundancy strategy where one of the components is in standby raising the workload of the active components on the one hand, but unaffected by the common source of shocks on the other hand. We compare the performance of both strategies for different frequencies of occurrence of the random shocks and different degrees of load sharing.

About Speaker: Emefon Dan has a bachelors in Mechanical Engineering from Nigeria and an MSc in RAMS from NTNU. He started his PhD in October 2021. He is working on Condition-based maintenance decisions for subsea systems with digital twins.

24.03.2022

Ph.D. Candidate

Bahareh Tajiani

Title: Lead Time Modeling for Optimization of an Alarm Threshold

Abstract: Lead time is the time from when a spare part is ordered until it arrives, or it is the time from when a maintenance action is ordered until it is carried out. Most recent literatures focused on deterministic lead time in maintenance context to find an optimal maintenance policy, however in real-life applications, lead time is a stochastic variable depending on many factors such as availability of the maintenance team, type of failure, delivery time of an item, etc. In this presentation, we will discuss the deterministic and stochastic lead time modeling for the continuously monitored systems subject to gradual degradation in order to find an optimal alarm threshold. Furthermore, some ideas will be proposed regarding how the model can be improved to consider different failure mechanisms such as external shocks.  

About Speaker: Bahareh Tajiani has a BSc in Industrial Engineering from Iran and a MSc in RAMS from NTNU. She started her work as a PhD candidate at RAMS group, MTP, NTNU in August 2019. Her PhD working title is mathematical modeling for remaining useful life (RUL) prediction of bearings which is an internal project at NTNU. 

10.03.2022

Ph.D. Candidate

Jie Liu

Title:  A comparison study for bearing remaining useful life prediction by using standard stochastic approach and digital twin

Abstract: The topic of the presentation is about comparison of RUL prediction models which including stochastic approaches and digital twin of Matlab. Data used for prediction is from experiment of RAMS lab. Two stochastic approaches are selected which are Wiener process and Geometric Brownian Motion. The purpose of the study is to compare the models for remaining useful life prediction with standard stochastic approaches and digital twin through real degradation data and try to find the comparison among them. The research could be used as a reference for further remaining useful life prediction research. 

About Speaker: Jie Liu has a bachelor’s degree in Applied Mathematics in Beijing Institute of Technology from China and a master’s degree in RAMS of NTNU. She started as a PhD candidate at RAMS group, MTP, NTNU in September 2021. Her research topic is Digital Twin Qualification for Maintenance, which is a part of SUBPRO project. 

24.02.2022

15:00 - 18:00

Ph.D. Candidate

Nanda Anugrah Zikrullah

There will be no seminar this week. Instead, you are invited to Nanda Anugrah Zikrullah’s defense.

  1. The trial lecture starts at 15:00 and the public defense at 16:30.
    Trial lecture: The role of digital twins in partial and complete integration of control and safety systems
    Defense: Contributions to the safety of novel subsea technologies - Methods and approaches to support the safety demonstration process
  2. The defense will take place in Meeting room Syndrområdet PTS Paviljong 1st floor, room 162 (find your way there) and via Zoom.
    Join Zoom Meeting
    https://NTNU.zoom.us/j/97633248994?pwd=dmVkK0ZuZmVOVXlIdjR4eW8ycEhydz09
    Meeting ID: 976 3324 8994
    Passcode: 988857

More information can be found here.

10.02.2022

09.02.2022

10:30-11:30

Guest Ph.D Candidate

Danilo Colombo

Title: Optimizing the testing policy for the Blowout Preventer  

Abstract: The topic of the presentation is the optimization of the testing policy of a subsea Blowout Preventer (BOP). The subsea BOP is a safety-critical equipment used during the construction or intervention in a well. It is installed at the top of the wellhead, near the seabed, and connects the well with the rig via riser. When a kick occurs, i. e., the formation fluids start to flow into the wellbore, the BOP is activated and acts like a valve, sealing the well and preventing an oil spill from occurring. To ensure its availability and safety, the BOP is periodically tested, which entails the operation to be stopped. The tests are done usually according to the best practices (e.g. regulations, standards). The downtime due to the testing period may have a significant economic impact.

The aim of this study is to optimize the test strategy for BOP reducing costs while satisfying the integrity lever required. To do so it will be considered three kinds of tests: (i) functional tests, (ii) partial pressure tests; and (iii) maximum pressure tests. The study will investigate a formulation for the test coverage and costs of each test. The test policy should consider the last overhaul of the BOP (i.e., the age of components) and failures that lead to a loss of redundancy in the system, which affects the probability of having a safety impact.

Possible future developments are: (i) to include the degradation caused by the test; (ii) to consider dependent failures.

About Speaker: Guest Ph.D Candidate from Brazil, Danilo Colombo. He is a mechatronics engineer and obtained a M.Sc in Production Engineer with the work in Markov chains to model the subsea well integrity. He is a petroleum engineer at Petrobras and he is currently an advisor in reliability and risk analysis at the CENPES Research Center. He is a member of SPE (Society of Petroleum Engineers) and ABRISCO (Brazilian Association of Risk, Reliability and System Safety). 
27.01.2022

Ph.D. Candidate

Lin Xie

There will be no seminar this week. Instead, you are invited to Lin Xie’s defense.

  1. The trial lecture starts at 14:00 and the public defense at 15:00.
    Trial lecture: Safety barriers in renewable energy production
    Defense: Safety barriers in complex systems with dependent failures
  2. The meeting room PhysualDesign (on the second floor) is booked for the defense.
    You can also attend by the following link:
    https://NTNU.zoom.us/j/99829849206?pwd=aDlyRENNUXdNcGp5UGtPQnZHMEFGUT09
    Meeting ID: 998 2984 9206
    Passcode: 054409
  3. The department will prepare some small food, cake, and drinks to celebrate the defense at around 17:30. It will be arranged in the kitchen on the second floor.

Check the program for more information. Lin Xie_english program.pdf

13.01.2022

(Digital only)

Ph.D. Candidate

Lin Xie

Title: Safety barriers in complex systems with dependent failures—Modeling and assessment approaches

Abstract: Technical systems are becoming more and more complex with a degree of dependencies. Such dependency issues can significantly reduce system reliability and cause catastrophes without proper prevention. Therefore, a variety of control measures, such as safety barriers, are necessary to be adopted against dependent failures and ensure the safety of technical systems. However, in the current literature, neither the effects of dependent failures within safety barriers nor the impact of safety barriers against dependent failures has been well studied. Therefore, it is desirable to analyze and model the effects of safety barriers in complex systems considering dependency issues, such as dependency between safety barriers and the environment, dependent failures within safety barriers, and safety barriers against dependent failures. The Ph.D. thesis bridges safety barriers and complex systems by considering the dependency issues. The aim is broken into four objectives addressed in five journal articles and three conference articles.


Program 2021 Autumn


WhenWhoWhat

-

-

No more meetings until January due to the holiday season

09.12.2021

(Digital only)

Professor Shen Yin

Title: Robustness and Sensitivity of AI systems - Two Sides of a Coin

Abstract: In recent years, artificial intelligence has made remarkable breakthrough, where a large number of AI-enabled systems have been developed and applied in manufacturing industry, medical care, cyber security, and many other fields. An interesting phenomenon lies in the different design targets of AI models – some should be robust to the abnormal changes of data while the others should be another way round. For example, to predict the remaining useful life of batteries, it is favorable to develop robust AI where the model is expected to be least affected by disturbances. By contrast, the sensitivity of the model might be critical in order to diagnosis of cyber-attacks, in which the AI models should be highly sensitive to malfunctions and malicious attack behaviors, keeping effective in case of any insignificant changes. From an engineer point of view, this talk will focus on both robustness and sensitivity of AI systems, which are regarded as two sides of a coin. The formulation of several typical demand-driven examples, the design approaches, and the corresponding performance will be introduced. A balance between sensitivity and robustness of AI is worth to be considered further in the R&D phase to cope with various demands in practice.

About Speaker: Shen Yin received the B.E. degree in Automation from the Harbin Institute of Technology, Harbin, China, and the M.Sc. degree in Control and Information Systems and the PhD. (Dr.-Ing.) degree in Electrical Engineering and Information Technology from the University of Duisburg–Essen, Germany.
Dr. Yin prompted to Full Professor from December 2014 at Harbin Institute of Technology, China. He joined Department of Mechanical and Industrial Engineering, NTNU, as DNV-GL Professor from October 2020. His research interests include safety, reliability of complicated systems, system and control theory, data-driven and machine learning approaches, applications in large-scale systems and industrial cyber-physical systems.

25.11.2021

Researcher

Shenae Lee

Title: An approach to update the reliability performance of safety barriers based on operating experience (The paper is to be submitted for Loss Prevention 2022)

Abstract: Hazardous events in process plants like the leakage of dangerous substances can result in severe damage, and such an event is often defined as the TOP event of a fault tree analysis (FTA) in a quantitative risk analysis. The input data for a FTA are often generic reliability data that are not necessarily catered for a plant specific analysis. Therefore, this paper presents an approach based on Bayesian network (BN) analysis with a focus on Hierarchical Bayesian analysis for handling situations where plant-specific data are sparse. The suggested approach is demonstrated by a case study of a pressure vessel. 

About Speaker: Shenae Lee is currently a researcher at MTP, NTNU (2020-2022). She finished her Ph.D. at RAMS group, MTP in 2020. She has B.Sc. in Nanotechnology from South Korea and M.Sc. in RAMS, NTNU.  

11.11.2021

Ph.D. Candidate

Tom Ivar Pedersen

Title: Data-exploration and possibilities for anomality detection and RUL-prediction

Abstract: A dataset of maintenance records and sensor readings from a group of water cooled power cords collected from a plant in the process industry will be presented. Two master students at NTNU used this dataset in their master thesis earlier this year. They explored the possibilities for estimating remaining useful life (RUL) for these component. As part of his Ph.D., he plans to investigate this dataset further. The goal of this presentation is to discuss how this dataset can be used as basis for a paper.

He has done some preliminary data exploration and found that there are two types of failures in the dataset. One type is a gradual degradation that can be tracked with a health indicator. A preliminary plan is to use some variant of the Wiener process as basis for RUL-prognosis.

28.10.2021

04.11.2021

(postponed due to time conflict)

Ph.D. Candidate

Ewa Maria Laskowska,















Emefon Dan

Title: Maintenance Optimization of Emergency Shutdown Valves (ESV)

Abstract: The topic of the presentation is the optimization of maintenance and testing policy of Emergency Shutdown Valves (ESVs). ESVs are safety critical equipment used in oil and gas facilities. They are used only in case of a demand and remain passive due to normal operation. To ensure their safety ESVs have to be periodically (full proof tests) tested what often require production shutdown and leads to faster use of these valves. It is also possible to test valves online by so-called partial stroke tests (PST). Although this kind of test doesn’t impede the production process it is less reliable than full proof tests with regard to capacity of revealing failures.

The aim of this work is to find the optimal maintenance strategy for ESVs while satisfying ESVs safety requirements. The modelling framework is based on the Markov state degradation model. In such a model, the condition of ESVs is defined by discrete states.

The important part of the approach is to consider condition-based inspection policy, when the testing intervals are dependent on the ESV’s condition. Two types of valves tests are considered: partial (online) tests and full proof tests. They differ with regard to the test coverage (reliability) and cost of testing. At each inspection the decision about repair is made, so that valve’s condition can be improved to a better state, or no repair is made but there is a shift in testing frequency. Also repairs have different cost assigned depending on whether they are performed online require production shutdown.

Parameters or variables considered in the model:

- There are 2 variables (parameters) regarding state of the valve: state and coverage.

- There are 2 types of inspections: Full Poof Tests (FPT) and Partial Tests (PT).

- There are 2 decision variables with regard to condition of the valve: repair decision and inspection interval.

- There are 3 kind of repairs: online repairs, repairs performed during planned shutdown and repairs requiring unplanned shutdown

- There are 2 aspects to consider with regard to cost of maintenance. First the cost depends on the revealed condition of the valve. Second, the cost can be accordingly increased or reduced depending on whether it requires unplanned shutdown and is performed withing a planned shutdown

- There are two cost figures related to condition monitoring: cost of FPT and cost of PT

Speaker: Ph.D. candidate Ewa Maria Laskowska


Title:  New Ph.D. Candidate Self-introduction Emefon Dan - Self introduction.pdf

Speaker: Ph.D. candidate Emefon Dan

Note that the physical meeting will be at Gløshaugen Materialteknisk 3. etasje Holand.

14.10.2021

12:00-13:00

IEEE Reliability Society,

Sweden and Norway Joint Section Chapter

There is no RAMS seminar this week. Instead, you can attend the Kick-off & Webinar of IEEE Reliability Society, Sweden and Norway Joint Section Chapter. The agenda is as follows:

Speakers:

Prof. Min Xie was awarded a scholarship to pursue his undergraduate study in Sweden in 1979. After graduating from KTH, he continued with his PhD study under the supervision of Prof Bo Bergman at Linköping University, and completed his PhD in 1987. He has been involved in IEEE Reliability Society activities since then, and was elected IEEE Fellow in 2005. Prof. Xie moved to National University of Singapore in 1991 and then to City University of Hong Kong in 2011. He has published over 300 journal papers and several books, and guides over 50 PhD students.

Dr. and Adjunct Prof. Pierre Dersin studied at MIT, where he obtained first a MS in Operations Research, then a Ph.D. in Electrical Engineering under Prof. Michael Athans. Since 1990, Dr. Dersin has been with Alstom (St-Ouen, France), mainly active in Reliability Engineering and Maintenance of Railway Systems. In particular, he founded there the “RAM Center of Excellence”. He started Alstom’s Predictive Maintenance Program. He is currently Prognostics & Health Management (PHM) Director in Alstom’s Digital & Integrated Systems Division, as well as ‘ RAM Master Expert’. He is the author of many publications in Reliability, Automatic Control, and Power Systems, including four chapters the “Handbook of RAMS in Railways: Theory & Practice” (CRC Press,Taylor & Francis), 2018. Pierre Dersin is a member of the IEEE Reliability Society AdCom and leads the Technical Committee on Systems of Systems.

30.09.2021

(Digital only)

Yuchen Jiang and Shimeng Wu from Harbin Institute of Technology

TitleRemaining useful life prediction based on machine learning approaches

Abstract: Digital transformation and digital twin technologies have facilitate the connection, the interaction, and the in-depth integration of the physical space and the virtual digital space. Colossal amount of process data are available and waiting to be made use of. In light of this, the safety and reliability challenges in industrial systems are likely to usher novel solutions. In this talk, we will share our recent work on system-level RUL prediction based on machine learning approaches. The work is practical problem-driven and therefore the talk will focus on analysis of the practical problem we study, the data-related problems, the feature exploitation tools, and the ideas of how to achieve accurate RUL prediction. Finally, a short discussion will be made about the pros and cons of ML-based and traditional model-based approaches.
Speakers
Yuchen Jiang received the B.E. degree and the Ph.D. degree in Control Science and Engineering from Harbin Institute of Technology, Harbin, China, in 2016 and 2021, respectively. His research interests include data-driven process monitoring, fault diagnosis and prognosis, and cyber-physical systems.
Shimeng Wu received the B.E. degre e from Harbin Engineering University, Harbin, China. She is currently pursuing the M.Sc. degree with Harbin Institute of Technology, Harbin, China. Her research interests include machine learning and applications in industrial safety and security systems.

16.09.2021

(Digital only)

PhD candidate Jie Liu,

Wanwan Zhang

New Ph.D. Candidate Self-introduction

Jie Liu Self-introduction.pdf

Wanwan Zhang Self-introduction.pdf

02.09.2021

(Digital only)

Postdoc

Xingheng Liu

Title: Modeling choke valve erosion with dynamic system

Abstract: Choke valve erosion is a major issue encountered in subsea oil production. When the valve is severely eroded, production needs to be slowed down or shut off to reduce the risk of major incidents such as leakage. Visual inspection is hardly possible for subsea equipment and therefore the monitoring of a choke valve installed at an X-mas tree/manifold relies usually on the monitoring of a degradation indicator, Cv (flow coefficient). The Cv indicates a valve's capability to let the fluid flow through a choke. Theoretically, the Cv increases monotonically at a given opening (valve travel/lift) with the erosion.

The issue with using Cv as a degradation indicator is that the valve is operated at a non-constant opening. Consequently, plotting Cv against time will lead to a non-monotonic Cv curve. Inappropriate use of the recorded Cv sequences can therefore give misleading results about the degradation level and erosion rate.

We propose to use a dynamic system to model the choke valve erosion. The hidden state evolving over time is the effective flow area (EFA) that becomes larger as the valve is eroded.  The system model shows how the hidden states evolve each day and is established based on physical models (erosion response model, fluid mechanics equations) and Gamma process (for intrinsic erosion growth randomness). The observation model shows the relationship between observed Cv and the effective flow area, accounting for measurement noise. With some field data (daily allocated flow rate, sand rate, valve opening) and choke valve features (flow characteristics, Cv curve), we can estimate the model parameters and predict the erosion growth and remaining useful life of the valve.

About Speaker: Xingheng Liu is a postdoctoral fellow at RAMS group, MTP, NTNU. His research topic is Prediction and optimization of remaining useful lifetime, which is a part of SUBPRO project. He completed his cotutelle Ph.D. in ROSAS (department of Operational Research, Applied Statistics and Simulation) at the University of Technology of Troyes (fr) and in RAMS at NTNU and earned his Master's and Bachelor's degree in Industrial Engineering at UTT.

19.08.2021

Ph.D. Candidate

Endre Sølvsberg 

Title: Exploiting the Mahalanobis Distance in Principal Component Analysis to detect anomalies in PCB production at Continental

Abstract: As part of the EU project Qu4lity, the Continental pilot “Autonomous Quality in PCB Production for Future Mobility” involves PCB (Printed Circuit Board) production in an SMD (Surface-Mount Device) line at their site in Sibiu, Romania. The main issue is faulty PCBs passing all in-line testing, and being sent out to customers, resulting in a high number of customer returns. The Pilot team has cooperated with domain expertise on-site in Romania to identify critical variables from the Continental Datalake and employed a PCA approach using the Mahalanobis Distance to identify customer returns as outliers and enabling the quality team at Sibiu to identify faulty PCBs before they are sent out to customers. Using a Docker container, the PCA algorithm has been automated with a Python script. An integrated GUI enables the quality team and other relevant people to see PCBs that are tagged by the algorithm as outliers, in addition to check individual unit ID tags. Through 5 months of PCB production, there have been 171 customer returns, and the quality team at Sibiu has validated that the algorithm was able to identify 169 of these PCBs as outliers, close to 99% of all customer returns in the 5 month period.

About Speaker: Endre Sølvsberg has a BA in Economics and an MSc in Sustainable Manufacturing. He has lectured at NTNU in the Masters level course Scientific Methodology. He has worked at SINTEF Manufacturing as a project engineer and researcher, in projects involving I4.0, ZDM and Smart Maintenance. He has served as the technical lead for SINTEF in the Continental Pilot in the EU Quality project. The working title of his PhD project is “Extending lifetime of Norwegian oil installations using predictive maintenance through condition and remaining useful life estimation", and the project is sponsored by OKEA and part of the NTNU program BRU21.

Opponents: Harald Rødseth, Ph.D. candidate Jon Martin Fordal


Program 2021 Spring


WhenWhoWhat

-

-

No more meetings until September due to the holiday season

10.06.2021

(Digital only)

Ph.D. Candidate

Renny Arismendi

Title: Piecewise Deterministic Markov Process (PDMP) as a modelling framework for RAMS problems

Abstract: A PDMP is a general class of non-diffusion stochastic models that provides a framework for studying optimization problems. It is a hybrid model with evolution that combines deterministic motion and random jumps. This presentation gives an overview of the formalism of PDMP with focus on RAMS applications such as Dynamic Reliability and Condition-based maintenance.

03.06.2021

(Digital only)

Ph.D. Candidate

Yixin Zhao

Title: Condition-based Maintenance for Systems with Dependencies: Related Concepts, Challenges and Opportunities

Abstract: Many critical systems with dependencies do not collapse immediately due to single-point failures but are more vulnerable to the cascading effects of these failures. Condition-based maintenance (CBM) has been found useful not only in improving availability of technical system but also in reducing the risks related to unexpected breakdowns, including those events related to dependencies, such as cascading failures. The serious disasters created by such failures and increased requirements for CBM policy due to dependencies urges a comprehensive study on current research and future challenges. In this study, a systematic literature review on the implementations of CBM in the systems with dependencies is conducted. Relevant papers are deliberately selected and analyzed in the VOSviewer program, to identify co-occurrences of keywords and so to illustrate basic concepts of CBM. Specifically, considering various types of dependencies, challenges, research advancements and research perspectives are identified. Opportunities of CBM for improving availability and reducing risks of dependent systems are finally explored.

About Speaker: Yixin Zhao has a B.E. and M.E. in Safety Engineering and Science from China. She started her Ph.D. in Octorber 2020 at RAMS group, MTP, NTNU, with main supervisor Yiliu Liu and co-supervisor Jørn Vatn.  

Opponents: Ph.D. Candidate Lin Xie, Renny Arismendi

11.05.2021

(Digital only)

Ph.D. Candidate

Muhammad Gibran Alfarizi

Title: Fault detection, classification, and root cause identification for a manufacturing production line setup

Abstract: This work illustrates a data-driven approach adopted to address the PHME2021 Data Challenge competition. The aim of the challenge was to perform fault detection, classification, and root cause identification for a manufacturing production line setup. Data has been acquired under fault-free operating conditions and with the support of domain expertise, data has also been generated with a variety of seeded faults under controlled conditions. In this paper, we describe the approach followed to assess the problem and to generate robust and adaptable prediction models together with a corresponding performance assessment and robustness evaluation.

About Speaker: Muhammad Gibran Alfarizi has a B.Sc. in Petroleum Engineering from Indonesia and a M.Sc. in Petroleum Engineering from NTNU. His research interest include data driven modeling and machine learning. He started his PhD in August 2020. The project title of his Ph.D. is The Digital Transformation and Data-Driven Methods in the Reliability of Safety Systems. 

29.04.2021

(Digital only)

Researcher

Shenae Lee

Title: Dynamic risk analysis from the perspective of life cycle approach in IEC 61508 and IEC 61511 (*The paper is to be presented at ICheaP15 conference in May)

Abstract: Dynamic risk analysis (DRA) aims to provide updated risk levels during operations of a hazardous facility. One of the main objectives of performing a DRA is to support day-to-day operational decisions, primarily for preventing major accidents. For this reason, many DRA methods have been developed to include information about the status of the safety barriers whose failures can increase the likelihood of a major accident. However, DRA is not widely used in industry, and there is no standard that describes DRA approaches and their applications. It may therefore be of interest to consider similar concepts and methods addressed in the existing standards. This paper focuses on a specific type of safety barriers, safety instrumented systems (SISs), and recognized functional standards IEC 61508 and IEC 61511 that give performance requirements to a SIS. In particular, SIS performance monitoring in the operational phase according to IEC 61508/61511 can provide valuable inputs to DRA applications.

About Speaker: Shenae Lee is currently a researcher at MTP, NTNU. She finished her Ph.D. at RAMS group, MTP last year. She has B.Sc. in Nanotechnology from South Korea and M.Sc. in RAMS, NTNU.  

Opponents: Ph.D. Candidate Lin Xie, Professor Jørn Vatn

15.04.2021

(Digital only)

Ph.D. Candidate

Tianqi Sun

Title: Maintenance Optimization for Bridge Management - Modelling of condition-based inspections and deterministic maintenance delay

Abstract: As a vital element of the Norwegian road network, a total of over 18,000 bridges are distributed across Norway. Their maintenance strategy can be classified as condition-based, but not predictive. Periodic inspections are carried out based on predefined rules and maintenance decisions are made based on the inspection findings. Given the large stock of bridges, it is sometimes difficult to follow all inspection plans due to the limited budget and resources. An optimized inspection strategy is therefore of great value to conduct fewer inspections without increasing the risk.

In this paper, a modelling framework to incorporate condition-based inspections in the multi-state Markov process is proposed. In view of the current practice when carrying out the repairs, the modelling of deterministic maintenance delays is also investigated. A case study is carried out based on empirical data from the Norwegian Public Roads Administration, the agency responsible for planning, building, operating and maintaining national and country road network in Norway. The time-dependent state probabilities and the number of repairs are calculated with both the proposed approach and Monte Carlo simulation for comparison and validation.

About Speaker: Tianqi Sun has a B.E. in Safety Engineering from China and a M.Sc. in RAMS from NTNU. After almost three years work as safety engineer in a car manufacture in China, he started his Ph.D. in September 2020. The title for his Ph.D. is Strategies and Criteria for Preventive and Corrective Maintenance, which belongs to a project named SMARTer Maintenance between Statens Vegvesen and NTNU.

Opponents: Ph.D. Candidate Renny Arismendi, Ewa Maria Laskowska

08.04.2021

(Digital only)

Ph.D. Candidate

Lin Xie

Title: Reliability analysis of safety-instrumented systems against cascading failures during prolonged demand durations

Abstract: Cascading failures may occur for many technical systems in situations where one component's failure triggers successive failures. The failure propagations can result in extensive damages to the systems. One can stop the propagations if safety instrumented systems act upon demands to prevent it. The demands have prolonged durations and expose safety instrumented systems to high stresses in some cases. Such stresses cause an increase in failure probabilities of safety instrumented systems. The failures during demands should be considered in the reliability analysis of safety instrumented systems. The traditional reliability measures are applicable for the failures on demands rather than the failures during demands. This paper proposes a new method to model safety instrumented systems to prevent cascading failures, considering the failures on demands and the failures during demands. It is a recursive aggregation method based on reliability block diagrams. Monte Carlo simulations are also employed to verify the method, and the applications are illustrated with a practical case study.

About Speaker: Lin Xie is a Ph.D. Candidate at the RAMS group.

Opponents: Professor Jørn Vatn, Postdoctoral fellow Xingheng Liu

18.03.2021

(Digital only)

Ph.D. Candidate

Nanda Anugrah Zikrullah

Title: Finite-state automata modeling pattern of systems-theoretic process analysis results

Abstract: Hazard analysis using Systems-Theoretic Process Analysis (STPA) can capture a more comprehensive type of hazards, including those caused by dependent and interacting elements. Nevertheless, the method has not been utilized widely in practice. One of the challenges is STPA's lack of guidance for the follow-up evaluation process, especially for transforming qualitative requirements into the quantifiable domain. A modeling approach of STPA results based on the framework for reliability, availability, and maintainability has been proposed. However, the approach lacks a modeling pattern, resulting in uncertainties in the model's conversion process. This paper's contribution is to improve the modeling approach and to provide modeling patterns for STPA results. The modeling patterns are classified into the controlled process model and the control element model. A simple study case application is performed, and sensitivity analysis results are presented to demonstrate the model's ability to prioritize essential scenarios.

About Speaker: Nanda Anugrah Zikrullah has a B.Sc. in Engineering Physics from Indonesia and an M.Sc. in RAMS from NTNU. He started his Ph.D. candidate work at RAMS group, MTP, NTNU in August 2018 and will finalize his work this autumn 2021. The Ph.D. project is under a joint-industry research project called Safety 4.0, which is lead by DNV and includes several other companies and universities. His Ph.D. working title is "Safety demonstration of novel subsea technologies".

04.03.2021

(8:30 - 9:30,

Digital only)

AutoPRO Norway-China Project Seminar


Title: Digital Twin-based Prognostics and Health Management for Subsea systems: Concepts, Opportunities and Challenges

Abstract: Digital Twin (DT) constitutes to be an important pillar for industrial transformation to digitalization. Both academics and industries have recently started the exploration on methodologies and techniques related to DT. A systematic overview on the relationships and differences between DT and traditional approaches, such as simulation, is thus needed. This paper aims to contributes towards better understanding of DT, by reviewing different DT types in an effort for their grouping and classification. Subsea production is the focusing industry in this study, where conventional corrective/age-based maintenance is shifting towards condition-based maintenance (CBM) and prognostics and health management (PHM). DT is believed to be meaningful to improve efficiencies and reduce costs of such activities, but technical difficulties of DT-based PHM are existing to impede real-world applications. We outline some of these opportunities and identify challenges of DT-based PHM with an aim of highlighting future research perspectives.

About Speaker: Ph.D. Candidate Malik Mohsin Abbas

18.02.2021

(Digital only)

Ph.D. Candidate

Bahareh Tajiani

Title: Mathematical Modeling for Remaining Useful Life Prediction of Bearings

Abstract: Roller bearings are critical components in rotating machinery and many failures are induced by abnormalities in the bearings. In this research, a framework will be presented using empirical wavelet transform (EWT) for fault detection and HI construction, combining with Bayesian inference approach for remaining useful life (RUL) estimation. The datasets are collected by conducting some accelerated life tests in RAMS laboratory. 

About Speaker: Bahareh Tajiani has a BSc in Industrial Engineering from Iran and a MSc in RAMS from NTNU. She started her work as a PhD candidate at RAMS group, MTP, NTNU in August 2019. Her PhD working title is mathematical modeling for remaining useful life (RUL) prediction of bearings which is an internal project at NTNU. 

Opponents: Professor Shen Yin, Ph.D. candidate Tom Ivar Pedersen

04.02.2021

(Hybrid)

Ph.D. Candidate Aibo Zhang

Title: Prognostics and health management of safety-instrumented systems: approaches of degradation modeling and decision-making

Abstract: Modern industries are developing towards a high-integrated direction with overwhelming complexities bringing benefits and potential risks with catastrophic consequences simultaneously. To reduce the occurrences of undesired events or mitigate their consequences, safety-instrumented systems (SISs), as a type of technical safety barrier, have been widely installed in different applications with the aim to protect people, the environment, and other valued assets. Many SISs operate in a demanded mode, meaning that they are only activated to perform safety functions while the unexpected occurs. For such systems, it is important to conduct proof tests for checking system states and following-up maintenance in case of failures, to keep SISs highly available so as to ensure safety. In current studies, these activities are assumed following a predefined scheme with fixed intervals, independent from the actual system state. However, when more SIS state information can be collected by sensors and in manual tests, the prognostics and health management (PHM) strategy is expected to be more reasonable and cost-efficient.

This PhD project thus aims to explore a new approach to evolve the SISs management from time-based to performance-based taking the technological advancement in data collection. The thesis bridges SISs performance assessment and degradation process through addressing different influence factors in the operational phase, including aging, and impact of demands, etc, for the decision-making in PHM. The practical utility of the thesis resides in the provision of a comprehensive consideration of the time- and event-dependencies of SIS performance, as well as safety and economic meanings of testing and maintenance activities. In particular, the first is to provide hints of system deterioration and relevant health management to reliability analysts when they evaluate SIS design. The second is for operational managers of SISs as the decision-makers, to help them to update testing and maintenance plans and identify the optimal intervention opportunities.

About Speaker: Aibo Zhang is a Ph.D. candidate at RAMS group, MTP, NTNU, with main supervisor of Yiliu Liu and co-supervisor Anne Cecile Barros. He will have his defence on Feb. 10th.

21.01.2021

(Digital only)

Postdoc

Xingheng Liu

Title: Remaining useful life prediction for subsea choke valves: degradation mechanism and candidate models

Abstract: Subsea systems are prone to degradations and failures since they are located in a harsh environment. Due to the inaccessibility, field inspections and maintenance on subsea systems are generally complex, expensive, and cannot be carried out without a certain delay. Thus, predicting the systems' remaining useful lifetime (RUL) bears a recognized value in industrial facilities' safety and economic aspects.

In this presentation, we address RUL prediction for subsea choke valves, which are used to control the flow rate of liquid and gas mixtures and prevent the equipment from unusual pressure fluctuations. After introducing the degradation mechanism, we shall present the health indicator, the needed data, and some candidate models. Finally, an example of a primitive prototype will be demonstrated.

About Speaker: Xingheng Liu is a postdoctoral fellow at RAMS group, MTP, NTNU. His research topic is Prediction and optimization of remaining useful lifetime, which is a part of SUBPRO project. He completed his cotutelle Ph.D. in ROSAS (department of Operational Research, Applied Statistics and Simulation) at the University of Technology of Troyes (fr) and in RAMS at NTNU and earned his Master's and Bachelor's degree in Industrial Engineering at UTT.


Program 2020 Autumn


WhenWhoWhat

-

-

No more meetings until January due to the holiday season

18.12.2020

(Digital only)

Professor

Shen Yin

Please welcome our new Professor Shen Yin. Prof. Shen Yin - Self Introduction

About Speaker: Shen Yin received the B.E. degree in Automation from the Harbin Institute of Technology, Harbin, China, and the M.Sc. degree in Control and Information Systems and the PhD. (Dr.-Ing.) degree in Electrical Engineering and Information Technology from the University of Duisburg–Essen, Germany.
Dr. Yin prompted to Full Professor from December 2014 at Harbin Institute of Technology, China. He joined Department of Mechanical and Industrial Engineering, NTNU, as DNV-GL Professor from October 2020. His research interests include safety, reliability of complicated systems, system and control theory, data-driven and machine learning approaches, applications in large-scale systems and industrial cyber-physical systems.

04.12.2020

(Digital only)

Ph.D. Candidate

Tom Ivar Pedersen

Title: Model for implementation of predictive maintenance in an Industry 4.0 context (in the offshore oil and gas industry)

Abstract: It is now almost ten tears since the concept of Industry 4.0 first was introduced. The basic premise of Industry 4.0 it that the instruction of Internet of Things (IoT) and cloud computing in the manufacturing sectors will lead to a fourth industrial revolution. Most of the literature so far has focused on technological aspects. But for companies to be able to reap the benefits of Industry 4.0 there is also a need for models and frameworks on how this concept can be implemented from a managerial perspective. This paper focus on maintenance and predictive maintenance is often one of the first practical applications of Industry 4.0 to be mentioned. While many claims have been made on the potential improvements related to maintenance that can be achieved from implementing Industry 4.0, there have so far been limited empirical evidence to support these claims. There are signs that industry actors are struggling to understand the Industry 4.0 concepts, and that predictive maintenance is difficult to implement in practice. To help guide industry in the implementation of Industry 4.0 in maintenance this paper proposes a framework for how this can be done. The model focus on the underlying principle of Industry 4.0: system integration and using real-time data to take faster and better decisions and use principles from systems engineering, lean and TPM.

Opponents: Ph.D. candidate Jon Martin Fordal, Endre Sølvsberg

17.11.2020

(Digital only)

Ph.D. Candidate

Ewa Maria Laskowska

Title: Predictive Maintenance


06.11.2020

(Hybrid)

1 new Postdoc and 5 new PhDs

Title: New Ph.D. candidate and postdoctoral fellow self-introduction

Xingheng Liu (postdoctoral fellow)

Malik Mohsin Abbas

Tianqi Sun

Endre Sølvsberg

Yixin Zhao

Muhammad Gibran Alfarizi


Program 2018 Spring


WhenWhoWhat

-

-

No more meetings until September due to the holiday season

15.06.2018 

Closing social event

Thanks for your participation and support for the RAMS Seminars. We warmly welcome you to the closing social event at 11.00 AM, this Friday (15th June), at VG 11, Valgrinda.

We will server:

1) A funny Quiz and the winner will receive a gift;

2) Free talks with the RAMS students, professors, and others; 

3) Pizza, cakes, drinks, coffee, and snacks…..(smile) 

All are welcome!

08.06.2018

Associate Professor

Cecilia Haskins

Title: Systems Engineering in 45 minutes Systems engineering-for-RAMS-group.pdf

Abstract:

A brief overview of the important aspects of systems engineering.

About speaker:

Cecilia had a career of 35 years as a practicing systems engineer before she began teaching the subject here in Norway. She holds a certification as an Expert Systems Engineering Professional. After earning her PhD in Systems Engineering at NTNU, she has been teaching systems engineering and systems thinking here in the department since 2010.

01.06.2018

Himanshu Srivastav, Lin Xie, Aibo Zhang, Yun Zhang

Title: Presentations for ESREL


1) Optimization of Periodic Inspection time of SIS subject to a regular Proof Testing Himanshu.pdf

Speaker: Himanshu Srivastav

Description: SIS is a generally passive system which is activated when the demand arises. Since they are the passive system they are not continuously monitored. Hence, periodic proof testing is arranged to check the availability of the SIS. With some systems, proof testing may damage the system and might cause deterioration. This is termed as the negative effect of testing. In this talk, we will discuss how the negative effect of proof testing can be modeled using multiphase Markov process. 

Opponents: Visit PhD Xiaopeng Li


2) Common Cause Failures and Cascading Failures in Technical Systems Lin Xie.pdf

Speaker: Lin Xie

Description: Dependent failures, such as common cause failures and cascading failures, are becoming important concerns to the system reliability. Both failure types may lead to the unavailability of multiple components at the same time or within a short time interval. Although many researchers have studied common cause failures and cascading failures respectively, there is a little comparison of the two concepts. We investigate the similarities and differences of these two failure groups, with focus on the conditions and nature of initiations and propagation of such failures. Moreover, a comparison is also made about suitable barrier strategies that can either prevent or reduce the consequences of failure.

Opponents: Prof. Anne Barros


3) PHM for safety barriers in infrastructures: opportunities and challenges Aibo Zhang.pdf

Speaker: Aibo Zhang

Description: Different types of safety barriers are deployed in many infrastructures to reduce the occurrences of hazards, but the capacity of these barriers can be weakened by degradations or the failures related to changes over time. It is natural to adopt the approaches of prognostic and health management (PHM) to monitor the conditions and measurable parameters of safety barriers and predict their future performance by assessing the extent of degradations. This study aims to explore the uniqueness and possible challenges when implementing PHM on safety barriers due to the operational characteristics of barriers.

Opponents: Prof. Mary Ann Lundteigen


4) Modeling methodology and patterns for the monitored system Yun.pdf

Speaker: Yun Zhang

Description: Huge rotary machines are commonly used in oil and gas processing plants for separation, compression, and boost. Their reliability is of high importance to avoid operation downtime and production loss. In this paper, a modeling methodology is presented, based on the AltaRica 3.0 modeling language and stochastic simulation, to assess the average production level of a compressor drive system. This system consists of six trains, where each of them contributes to one-sixth of the total production capacity. It runs under two operation modes (full and reduced capacity) corresponding to seasonal demand periods (winter and summer). The problem at stake is to design a model at system level that captures the various degradation processes, monitoring policies, and maintenance rules involved in the system under study. The aging of units is represented by means of multiple degradation levels. Given units information provided by monitoring and inspection, preventive and corrective maintenance interventions are decided locally to each unit. Performance indicators such as the cumulative production and production loss over a certain mission time can then be assessed. 

Opponents: Prof. Jørn Vatn, Ph.D. candidate Juntao Zhang

25.05.2018Canceled

Canceled

11.05.2018

Assoc. Prof.

Viggo Gabriel Borg Pedersen

Title: Monitoring data quality – Demonstration of vibration measurements Condition Monitoring data collection.pdf and Vibration.pdf

Abstract:

The quality of condition monitoring data affects remaining useful life prognosis based on the monitoring data. The whole measurement chain has to be customized in such a way that relevant data of the right quality is collected for analysis purposes.  Choosing the right sensor for the job and installing it correctly at the optimal position require knowledge of the process and unit being monitored. Conversion and transmission of sensor data is another source of error in data acquisition systems. The presentation will highlight and discuss some issues related to the above-mentioned challenges. Demonstration of gathering vibration data on two live test rig's is part of the presentation. The rigs of the type rotational equipment are mounted in the lecture room.

About speaker:

Assistant Professor teaching operation & maintenance and design of piping systems at bachelor level the last five years. 10 years’ work experience in construction, operation, and maintenance of offshore installations & ships. 9 of these as an engineer in different positions. 9 years’ work experience related to hydropower, operation, and maintenance, laboratory management in different engineering positions. MSc – Marine Technology, marine machinery; MA – Project management; BSc –mechanical engineering

Other relevant materials can be found here: accident analysis.pdf, the fight for the right to repair.pdf and Vibration analysis.pdf

04.05.2018

Juntao Zhang








Jon Martin Fordal

Title: Adapting Systematic Theoretic Process Analysis for Reliability Analysis Juntao Zhang_RAMS seminar_04.05.pdf

Abstract:

The rather recent method named System-Theoretic Process Analysis (STPA) is one promising candidate to improve the coverage of hazard identification in complex systems that involve highly coupled parts, non-linear interactions, and software-intensive functionalities. Still, there is no guideline for utilizing STPA output to evaluate the potential of loss, which is important for a basis for decision-making about system configuration and equipment selection. The focus of this article is placing on the interface between STPA and reliability, availability and maintainability (RAM) modeling. The approach named STPA-RAM modeling is proposed to translate feedback control loops into Petri-nets for discrete event simulation. The proposed approach is demonstrated with a simple case related to the subsea design concept. It has been found that the new proposed approach extends the application of STPA, while also improving, and as such reducing completeness uncertainty and model uncertainty, associated with input data and information for RAM modeling. 

About speaker:

Juntao Zhang is a PhD candidate in RAMS group, in related to research center SUBPRO. PhD topic is incorporating reliability and availability analysis in the early design phase of subsea systems. He is under the main supervision of Prof. Mary Ann Lundteigen in RAMS group. He has a Master degree from RAMS program, NTNU.

Opponents: Prof. Cecilia Haskins, PhD candidate Shenae Lee


Title:  New Ph.D. Candidate Self-introduction Self_introduction_Fordal.pdf

Abstract: Self-introduction of Jon Martin Fordal – background & and next steps 

About speaker:

Jon Martin Fordal comes from Stjørdal and has a bachelor degree in mechanical engineering, master of science in industrial engineering, and has worked as a maintenance engineer in Elkem ASA. 1stofmarch he started as a PhD candidate, and will be working on the research project “CPS Plant”. The project will develop a framework for the Norwegian approach for the digital manufacturing industry. The consortium consists of 3 Norwegian industry partners, Norsk Hydro, Benteler Automotive and Hycast, and SINTEF Digital and NTNU (Trondheim and Gjovik) are the academic partners. SINTEF Raufoss Manufacturing is the project leader.

20.04.2018

Assoc. Prof.

Astrid S. de Wijn

Title: Criticality in Dynamic Arrest: Correspondence between Glasses and Traffic RAMS_Astrid.pdf

Abstract:

The dynamic arrest is a general phenomenon across a wide range of dynamic systems including glasses, traffic flow, and dynamics in cells, but the universality of dynamic arrest phenomena remains unclear.  We connect the emergence of traffic jams in a simple traffic flow model directly to the dynamic slowing down in kinetically constrained models for glasses.  Using the Nagel-Schreckenberg model to simulate traffic flow, we show that the emergence of jammed traffic acquires the signature of a sharp transition in the limit corresponding to overcautious driving. We identify a true dynamic critical point marking the onset of coexistence between free-flowing and jammed traffic and demonstrate its analogy to kinetically constrained glass models. We find diverging correlations analogous to those at a critical point of thermodynamic phase transitions.

About speaker:

Associate Professor at Department of MTP at NTNU and also attached to the department of Physics Stockholm University. Her interest focus on statistical mechanics, tribology, condensed matter, nonlinear dynamics, surface science. More detail please check: http://www.syonax.net/science/research.html

06.04.2018

Shenae Lee


Title: Application of Bayesian Belief Networks (BBNS) for process plant Shenae RAMS seminar.pdf

Abstract:

This study is about risk analysis of process plants where main accidents continue to occur. Conventional risk analysis method has the limitation of having a static structure, while another challenge is difficult to aggregate operational data from different sources. To focus on these limitations, the paper suggests an approach based on Bayesian networks (BNs), and it is illustrated by a case study of a pressure relief valve in an Ammonia plant. The approach seems to be suitable for updating frequency of accident scenarios when new risk information is collected during the operational phase.  

About speaker:

Shenae Lee is a Ph.D. student in RAMS group. The topic for her PhD is a dynamic risk analysis of major accident hazards in process facility operations to support safety-critical decisions. She is under the main supervision of Prof. Nicola Paltrinieri in RAMS group. She has a Master’s from the international RAMS program, NTNU. 

Opponents: Pierluigi Salvo Rossi, Kongsberg Digital AS, Norway; Juntao Zhang, RAMS group

16.03.2018Prof. Antoine Rauzy

Title: Reliability Analysis of Looped Systems

Abstract: 

It is well widely assumed (and true) that reliability block diagrams are equivalent to fault trees, although this equivalence is formally established in no textbook. A reliability block diagram can be seen as an oriented graph: blocks are represented by nodes and connections between blocks by edges of the graph. This graph is oriented, contains no loop (is acyclic), has a unique source node s and a unique target node t. The system described by the reliability block diagram works if and only if there is a working s-t path in the graph, an i.e. s-t path along which all nodes are working (only nodes can fail, edges are assumed to be perfectly reliable). An interesting question is: what does happen if we accept loops, i.e. if we consider reliability networks rather than reliability block diagrams? Assessing the reliability of networks is indeed of practical importance as most infrastructures can be seen as networks. Nevertheless, reliability networks are only seldom used as a modeling tool. In this seminar, the main mathematical results explaining why it is so and present several algorithms to solve the problem will be recalled.

About speaker:

Antoine B. Rauzy has currently a full professor position at Norwegian University of Science and Technology (NTNU, Trondheim, Norway). He is also the head of the chair Blériot-Fabre, sponsored by the group SAFRAN, at Centrale Supélec (Paris, France). During his career, he moved back and forth from academia to industry, being notably senior researcher at French National Center for Scientific Research (CNRS), associate professor at Universities of Bordeaux and Marseille, professor at Ecole Polytechnique and Ecole Centrale Paris, CEO of the start-up company ARBoost Technologies he founded, and director of the R&D department on Systems Engineering at Dassault Systemes (largest French software editor). He gothisPhDin1989 and his tenure (habilitation àdirigerdes Recherches) in 1996, both in computer science. He works in the reliability engineering field for more than 20 years. He extended his research topics to systems engineering more recently. He published over 150 articles in international conferences and journals. He is on the advisory boards of several international conferences and journals and is regularly invited to deliver keynote talks at international conferences. He renewed mathematical foundations and designed state-of-the-art algorithms for probabilistic safety/risk assessment. Alone or with his students and collaborators, he developed safety/risk assessment software that is daily used in industry (Aralia, XFTA, MarkXPR). He is also the main designer of the AltaRica modeling language and the scientific advisor of the Open-AltaRica project (IRT SystemX). He managed numerous collaborations between academia and industry, in Europe, in the USA and in Japan, and has been the adviser of fifteen PhD theses.

02.03.2018

Prof.

Anne Barros

Title: On the Use of Piecewise Deterministic Markov Processes in Reliability and Maintenance PDMP_Anne Barros.pdf

Abstract:

Piecewise deterministic Markov processes (PDMP) are widely used in dynamic reliability to model phenomena which are considered as deterministic most of the time (e.g. evolution of the fluid level in a tank) and which are influenced from time to time by stochastic events (e.g. failures in the control loop for the fluid level). Usually, a PDMP is made of a set of differential equations (deterministic part) whose solutions can experience random “jumps” (effect of stochastic events).

We present here a very specific type of PDMP: the deterministic part is reduced to a set of trivial differential equations whose solutions will be used to measure the time elapsed since the last stochastic events.  Hence, the deterministic part is not related to any physical phenomena but is an artifact to model stochastic behaviors that require a combination of discrete random “jumps” and continuous variables to count time. We will discuss how such PDMP can be used to study maintained systems with several units. Stochastic jumps will model failure, repair, detection times while the continuous variables will model deterministic repair durations or delays, the time between inspections, time spent in different states of interest (especially in case of Weibull lifetime or repair time). We will try to explore how such a formalism can help for the modeling work, and when an explicit numerical scheme can be easily developed to calculate the quantities of interest (MDT, Availability, Reliability, Mean number of repairs...).

About speaker:

Anne Barros is a professor at NTNU in the Department of Mechanical and Industrial Engineering. Her research activity is focused on the use of stochastic processes in Reliability and Maintenance.

Career: Master's degree in Systems Control from the University of Technology of Compiegne UTC (France), 2000, Master of Engineering in Industrial System from the University of Technology of Troyes UTT (France), 2000 and PhD (dr. philos) in Optimisation and System Safety from UTT, 2003. Associate Professor of Reliability and Maintenance engineering at UTT (2003-2011). Professor of Reliability and Maintenance engineering at UTT (2011-2014). Professor of Subsea Reliability at Norwegian University of Sciences and Technology NTNU (professorship founded by DNV-GL, 2014-).

16.02.2018



Harald Rødseth

Title: Risk-based maintenance backlog Maintenance backlog _Harald.pdf

Abstract:

TBAA relevant issue in manufacturing and production seems to be “silo”- organizations and “silo”-planning with lack of coordination between departments. Integrated Planning (IPL) is a concept that aims to cope with this “silo”-problem. With the ground-breaking potentials from Industry 4.0, it should be expected that the advancement of IPL will speed up in development and implementation in companies. To manage IPL sound key performance indicators (KPIs) must be implemented and established by the company. A promising indicator for IPL is maintenance backlog (MB). A strength of this indicator is the capability to be modeled with Risk OMT (Risk modeling – Integration of Organisational, human and Technical factors). It remains to investigate how MB can be modeled to a Quantitative Risk Analysis (QRA). The main objective of this article is to develop a model of MB in QRA. In particular, the article demonstrates a case study of a production system where both fault tree analysis (FTA), and event tree analysis (ETA) is modeled. The article discusses the demonstration results and evaluates how potentials in Industry 4.0 can support QRA.

About speaker: Harald Rødseth, Postdoctoral fellow, MTP, NTNU.

Opponents: Prof. Jørn Vatn & Ph.D. candidate Yun Zhang

02.02.2018

HyungJu Kim

Title: Systems-Theoretic Process Analysis (STPA) for subsea systemsSTPA to Subsea_HyungJun Kim.pdf

Instruction RAMS seminar.pdf

Abstract:

Systems-Theoretic Process Analysis (STPA) is a recently developed hazard identification technique that is based on control and systems theory. Previous studies on STPA emphasizes two major strengths of the method: (1) STPA provides a systematic top-down approach that enables early identification of system flaws, and (2) STPA covers a wider scope of hazards compared to traditional methods. Despite these advantages, there are only a limited number of studies that have applied the method to subsea systems. It is therefore of interest to investigate how STPA can be used to formulate new or verify existing requirements for safety-critical systems for subsea facilities. 

The contents of the presentation are 1) Introduction to STPA; 2) Ongoing STPA studies in RAMS group; 3) STPA to subsea gas compression system - ESREL 2018 conference; 4) STPAtoisolationofsubsea wells - OTC 2018 conference

About speaker:

Hyungju Kim is a postdoctoral fellow at RAMS group, MTP, NTNU. His research topic is new control and safety philosophies of subsea systems, which is a part of SFISUBPRO project. He completed his Ph.D. in RAMS at NTNU and earned his Master's and Bachelor's degree in Naval Architecture and Ocean Engineering at Seoul National University. Before he started his Ph.D. at NTNU, he worked for Samsung Heavy Industries for seven years, as a naval architect. 

26.01.2018

Wenyan Song

Title: Data-driven fuzzy modeling method and its application Data driven_Wenyan.pdf

Abstract:

Fuzzy modeling method is an effective computation intelligence technology that can handle data information and human knowledge. Now it has been widely applied in system modeling, decision system design and data analysis. In this talk, we will introduce some basic concepts about fuzzy set theory and a few examples of fuzzy modeling method combined with other machine learning algorithms. Besides, we also introduce some application cases about fuzzy modeling.

Speaker:

Dr. Wenyan Song is an associated professor in School of Economic, Dongbei University of Finance and Economics University in China. She has research interests in machine-learning, and she works more in applying the technique to industrial process and financial market.

19.01.2018

Behnaz Hosseinnia

Xiaopeng Li

Title: New Ph.D. Candidate Self-introduction

Speaker: Behnaz Hosseinnia Self intorduction_Behnaz.pdf

Abstract: Introduce herself and talk about her previous research project at Safety and Security Science group at TU Delft, the Netherlands. She will also give a brief introduction of her PhD research topic at RAMS group.

About Speaker: New PhD student within RAMS group. She received her master degree in chemical engineering (minor: HSE) and did her undergraduate studies in Safety and Technical Protection Engineering in Petroleum University of Technology (Iran) with the first rank honor. In her M.Sc. thesis she has studied the application of fire and explosion modeling, failure probability analysis and quantitative risk-based decision making in petroleum pipelines emergency response planning. Besides the academic experience, two internships with National Iranian Oil Company (NIOC) and four-year work with engineering consultancies have enabled her to combine the technical knowledge with hands-on experience in risk analysis, process safety and accidents consequence modeling. From 2016, she worked as a researcher at the Safety and Security Science group in TU Delft, the Netherlands. Her research project was funded by LDE (Leiden. Delft. Erasmus) Centre for Safety and Security and focused on developing an effective decision-making tool for multi-plant emergency response planning against terrorist attacks in the chemical industrial areas.

Speaker: Xiaopeng Li ( Exchange Ph.D. candidate) Self-introduction_Xiaopeng Li.pdf

About Speaker: He is from College of Management and Economics, Tianjin University, China. He will introduce himself and his previous research works on warranty management in Tianjin University and his research plan in NTNU.



Program 2017 Autumn


WhenWhoWhat

-

-

No more meetings until January due to the holiday season

15.12.2017



Liu Yang








Closing social event

Title: An Algebraic foundation of combinatorial reliability models (Finite Degradation Structures - Liu Yang.pdf)

Abstract:

The combinatorial models, including fault trees and reliability block diagrams, are basic models in reliability analysis, in which components are traditionally assumed to be either working or failed (i.e. Boolean cases), and then to be composed using the logic connectives (and, or, …) to represent the failure mechanism of the system. In our work, the mathematical foundation of these models is extended from the Boolean algebra to a more generalized algebraic structure, which we call the “Finite Degradation Structure” that allows a component to have more than two states (working, degraded, failed1, failed2, …) but still be combinatorial. This presentation will start with a formal introduction of the Combinatorial Degradation Structure, including some basic concepts and the extended minimal cut sets and importance measurements. Then, a couple of examples will be given to show how it works for reliability analysis.

About speaker:

Liu Yang, Ph.D.student of RAMS group, MTP, NTNU.


Pizza or cake (smile)


07.12.2017



ROSS Gemini Seminar

ROSS Gemini Seminar(RAMS)

Abstract:

  • Safety philosophy in subsea systems (SFI SUBPRO) (Hyung Ju Kim)
  • Risk Management – Oil and gas processing (Marta Bucelli)
  • Maintenance optimization – Structures (Renny Arismendi)
  • Model engineering (Liu Yang)


01.12.2017

Pierluigi Salvo Rossi

(Principal Engineer, Kongsberg Digital AS)

Title: Machine Learning & Industry 4.0 (Kongsberg Digital presentatio_DDL.pdf)

Abstract:

Artificial intelligence, big data, internet of things, machine learning, sensor networks are popular terms which currently pervade almost every human activity. A crucial field which contributes significantly to their success is the industrial setting, where the marriage between information technology and process technology is denoted Industry 4.0.

This talk will start with introducing the driving elements which contributed to the large popularity of machine learning in the industrial setting and then focus on the significant role that such knowledge plays within the Kongsberg Group. Activities, where Kongsberg Digital is developing machine-learning tools, are presented and special emphasis is given to the projects in collaboration with NTNU.

About speaker:

Pierluigi Salvo Rossi was born in Naples, Italy, 1977. He received the Dr.Eng. degree in telecommunications engineering (summa cum laude) and the Ph.D. degree in computer engineering, in 2002 and 2005, respectively, both from the University of Naples “Federico II”, Naples, Italy. From 2005 to 2008, he worked as a postdoc at the Dept. Computer Science & Systems, University of Naples “Federico II”, Naples, Italy, at the Dept. Information Engineering, Second University of Naples, Aversa (CE), Italy, and at the Dept. Electronics & Telecommunications, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. From 2008 to 2014, he was an Assistant Professor (tenured in 2011) in telecommunications at the Dept. Industrial & Information Engineering, Second University of Naples, Aversa (CE), Italy. From 2014 to 2016, he was an Associate Professor in signal processing with the Dept. Electronics & Telecommunications, NTNU, Trondheim, Norway. From 2016 to 2017 he was a Full Professor in signal processing with the Dept. Electronic Systems, NTNU, Trondheim, Norway. Since 2017 he is a Principal Engineer with the Advanced Analytics and Machine Learning Team, Kongsberg Digital AS, Norway. He held visiting appointments at the Dept. Electrical & Computer Engineering, Drexel University, Philadelphia, PA, US, at the Dept. Electrical & Information Technology, Lund University, Lund, Sweden, at the Dept. Electronics & Telecommunications, NTNU, Trondheim, Norway, and at the Excellence Center for Wireless Sensor Networks (WISENET), Uppsala University, Uppsala, Sweden.

He is an IEEE Senior Member and serves as Senior Editor for the IEEE Communications Letters (since 2016) and Associate Editor for the IEEE Transactions on Wireless Communications (since 2015). He was Associate Editor for the IEEE Communications Letters (from 2012 to 2016). His research interests fall within the areas of communications and signal processing.

17.11.2017

Prof. Baruch Barzel

(Bar-Ilan University)

Title: Dynamic Resilience of Complex Networks (PresentationBarzel.pdf)

Abstract:

Resilience, a system’s ability to retain functionality under errors, failures and environmental perturbation, is a defining property of many complex systems. Yet, despite its widespread consequences for human health, the economy and the environment, events leading to loss of resilience - from cascading failures in technological systems to mass extinctions in ecological networks - are rarely predictable and are often irreversible. This lacuna is rooted in a deep theoretical gap: the current analytical framework of resilience is designed to treat low-dimensional models with a few interacting components, overlooking the complex multi-dimensional nature of most real social, biological and technological systems. How then do we predict and influence the resilience of a complex networked system? To achieve this we will expose the natural control parameters of network resilience, providing us with a universal framework to understand, predict and ultimately influence the resilience of complex networks.  Along the way, we will also learn why your friends have more friends than you do...

 For more details see ''Universal resilience patterns in complex networks'', Nature 530, 307–312 (2016).

About speaker:

Baruch Barzel is an Israeli physicist and applied mathematician at Bar-Ilan University. His main research areas are statistical physics, complex systems, nonlinear dynamics and network science. Barzel completed his Ph.D. in physics at the Hebrew University of Jerusalem, Israel as a Hoffman Fellow. He then pursued his postdoctoral training at the Center for Complex Network Research at Northeastern University and at the Channing Division of Network Medicine, Harvard Medical School. Dr. Barzel's research focuses on the dynamic behavior of complex networks, uncovering universal principles that govern the dynamics of diverse systems, such as disease spreading, gene regulatory networks, protein interactions or population dynamics(Ref. https://en.wikipedia.org/wiki/Baruch_Barzel).

You can find more information at http://u.cs.biu.ac.il/~barzelb/index.html.

03.11.2017

Lin Xie

Aibo Zhang

Title: New Ph.D. candidate self-introduction

Self introduction_Lin.pdf

Self introduction_Aibo.pdf

19.10.2017

ROSS Gemini Seminar

ROSS Gemini Seminar(SHE)

This first seminar is held by Safety, Health and Environment (SHE) section, at meeting room F5(("Gamlefysikk, 2.etasje"), kl14.00-16.00. The seminar will include short presentations on topics from ongoing activities in the group, and may this time include arctic safety, safety in fish farm industry, maritime management and accident in building and construction sector.

06.10.2017 

Renny Arismendi

Himanshu

Srivastav

Title: New Ph.D. candidate self-introduction

Renny_self_introduction.pdf

Himanshu_self_introduction.pdf



Program 2017 spring

The venue is VG11 in basement at NTNU-Valgrinda. 

WhenWhoWhat

20.01.2017 

Cancelled

No meeting this week.

27.01.2017Prof. Anne Barros

Title: Modelling degradations, condition based maintenance and imperfect tests for Safety Instrumented System (PresentationESRELSeminarRAMS.pdf)

Classical analytical models developed to quantify the availability of Safety Instrumented Systems (SIS) are currently based on the assumption of exponential lifetime distributions for all the units they are made of (1). The aim of the present work is to show how some stochastic modeling framework based on renewal processes, virtual age and multiphase Markov processes can be used to generalize existing analytical tools. The main goal is to include other lifetime laws than the exponential one (e.g. Weibull law or lifetime based on discrete state degradation process) and to model the possible effects of tests and condition-based maintenance.

The presentation this Friday will focus on a preliminary discussion about Weibull law versus Exponential law. 

(1) M. Rausand, Reliability of Safety Critical Systems, Wiley, Hoboken, NJ. 2014

03.02.2017CancelledNo meeting this week.
10.02.2017Prof. Anne Barros

Anne would continue with her talk of the previous seminar with focus on:

  •  the ageing model
  •  the numerical results and their interpretation
17.02.2017CancelledNo meeting this week.
24.02.2017CancelledNo meeting this week.
03.03.2017

Prof. Antoine Rauzy

Yun Zhang

Yun and Antoine will together give a presentation about modelling of a system with AltaRica. A use case of simplied HIPPS is investigated. (rams seminar 03.03.pdf)

•The problem is mainly about
how to design a maintenance model step by step to help assessing condition monitoring and optimization of maintenance policies given the description of constraints
•But it could also be relevant for problems like
how to analyze production of the system
how to do risk analysis at the system level etc.…
10.03.2017

Shenae Lee

Shenae will present her ESREL paper 2017 (June 18-22) and she would like to use this seminar to collect some comments.

Title: Modelling hazardous events for decision support (15min) (Shenae_ESREL2017_RAMS seminar.pdf)

17.03.2017

Prof. Marvin Rausand 

Title: A historical perspective on the development of the RAMS group at NTNU. (RAMS-history.pdf)

24.03.2017CancelledNo meeting this week.
31.03.2017Prof. Gerd Kjølle

Gerd Kjølle is going to make a presentation about reliability of power systems and give some examples of topics and projects she is working with in this field, including the new centre for environment-friendly research CINELDI. (RAMS group seminar_Reliability of power systems_2017-03-31_v2.pdf)

She is Master of science (sivilingeniør) in electric power engineering, NTH 1984. PhD (doctor ingeniør) in electric power engineering, NTNU 1996. Diploma in the Theory and Practice of Teaching, NTH 1986.

Gerd Kjølle's main position is at SINTEF Energy Research, Department of Energy Systems as Chief Scientist. She is centre director at Centre for Intelligent Electricity Distribution - CINELDI.

Responsible for the PhD course ET8207 Power system reliability. For more information, please refer to https://www.ntnu.edu/employees/gerd.kjolle.

07.04.2017Marta Bucelli

Marta is going to present her paper and collect some comments. 

The paper is titled: Domino effect triggered by fire: performance assessment of safety barriers in harsh environmental conditions

It will be presented in HAZARDS27 conference in May. 

14.04.2017CancelledNo meeting this week due to easter holiday.
21.04.2017Lei JiangPlease welcome the introduction of a visiting scholar Lei Jiang in the RAMS group.

He is from Department of Railway Information Engineering, Southwest Jiaotong University, (SWJTU), China. He will introduce himself, the Traffic Information Engineering and Control in SWJTU and the RAMS application in railway signaling system (approx.30 min).

Topic: RAMS application in High-speed Railway signaling system (presentation.pdf)

His research interests include reliability assesssment, risk analysis of high-speed railway signaling System.

28.04.2017Cancelled

There is no RAMS seminar this Friday. Instead, you can attend the guest lecture given by Professor Ali Mosleh on Thursday. See forwarded message below.

Professor Ali Mosleh will give a guest lecture about Risk and Reliability Analysis: Promise, Reality, and Future.

Dr. Ali Mosleh is a Distinguished Professor and holder of the Evelyn Knight Chair in Engineering at the University of California in Los Angeles. He was elected to the US National Academy of Engineering in 2010, and consultant and technical advisor to numerous national and international organizations, including appointment by President George W. Bush to the U.S. Nuclear Waste Technical Review Board, a position he continued to serve in the administration of President Obama. Professor Mosleh is an Adjunct Professor and International Chair at Department of Marine Technology.

Date and time for guest lecture: Thursday April 27th at 1215-13. 

Location: T1 at Marine Technology Center, Tyholt.

Map: http://bit.ly/2ogZgK6

05.05.2017

Abu Md Ariful Islam

This week, Ariful, the RAMS student is going to share with us his master project and preferably get some feedbacks.

Topic: Rotary machine prognostics based on Gamma process (Seminar_Ariful.pdf)

The presentation lasts for 20-25 min.

12.05.2017Prof. Stein HaugenTitile: MIRMAP – Modelling Instantaneous Risk for Major Accident Prevention (MIRMAP RAMS Seminar May 2017.pdf)
19.05.2017Markus Heimdal

This week we continue with presentation from our RAMS students. Markus is going to share with us his master project and preferably get some feedbacks.

Topic: Remaining useful lifetime modeling for motor insulation (Model presentation RAMS seminar mai 2017.pdf)

 The presentation lasts for 20-25 min.

26.05.2017CancelledNo meeting this week.
02.06.2017Giusi Ancione

Giusi Ancione, postdoctoral researcher from the university of Messina (Italy), is visiting here for 2 months.

She would like to give a presentation entitled: A tool for cranes to manage risk due to release of hazardous materials (Ancione 02_June_2017.pdf)

09.06.2017CancelledNo meeting this week.



Program 2016 autumn

The venue is VG11 in basement at NTNU-Valgrinda. 

WhenWhoWhat

08.09.2016


Shinae Lee

Prof. Jinyong Yao

Please welcome new PhD-student Shinae Lee to our group. Shinae is a former student in international RAMS master program. She will introduce herself (approx. 10 min).

Besides, this academic year we have a new visiting scholar: Professor Jinyong Yao from Beijing University of Aeronautics and Astronautics (Beihang University), China. He will introduce himself, the institute of Reliability and System Engineering of Beihang and its curriculum (approx.35 min). Do not hesitate to meet him up. Prof. Yao is very happy to talk with any of us.

We will also agree on the dates and content for the seminars this autumn.

16.09.2016


Marta Bucelli 

Shengnan Wu

HyungJu Kim


Please welcome a new exchange PhD student Marta Bucelli (from Italy) to our group. She will introduce herself (approx.10 min)

In addition, one PostDoc and three of the PhD candidates in our group are going to present in PSAM / ESREL 2016. We may use two seminars to go through their topics and preferably collect some comments on the slides.

- Shengnan Wu: Reliability assessment for subsea HIPPS valves with partial stroke testing (ESREL presentation shengnan wu.pdf)

- HyungJu Kim: A Gap Analysis for Subsea Control and Safety Philosophies on the Norwegian Continental Shelf (PSAM13 Kim - 20160916.pdf)

Finally, we should discuss the list of candidate topics that professors can present for the following scientific seminars. 

23.09.2016

Mario Marcondes Machado

Yun Zhang

Juntao Zhang

Mario is going to leave us in October. Before he leaves, he will present an overview of his research works done here and share with us his experiences living in Norway. (RAMS Seminar 23_09_2016 MARIO.pdf)

Continue trial presentations for ESREL 2016.

- Yun Zhang: Assessment of a condition-based maintenance policy for Subsea systems: A preliminary study (ESREL2016_Yun.pdf)

- Juntao Zhang: Using Bayesian Networks to quantify the reliability of a subsea system in the early design (Juntao zhang ESREL16 presentation.pdf)

30.09.2016ESREL 2016No meeting this week.
14.10.2016CancelledDue to close of schools and kindergardens, many parents would stay at home this day. So the seminar is cancelled this week.
21.10.2016Prof. Antoine Rauzy

Topic: Reliability Assessment of Complex Systems (Rauzy2016 - ESREL Keynote Tutorial.pdf)

This keynote presentation received good feedbacks at ESREL 2016, and Professor Antoine Rauzy would like to share with us the updated version at RAMS seminar.The whole presentation may be separated into several sessions through this semester.

This tutorial aims to present some important results and current challenges of reliability assessment of complex systems. The presentation focuses on issues related to models, modelling formalisms and assessment algorithms. It sketches a research and development program for the reliability engineering community.

This week the 1st part "The reliability assessment process" is presented.

28.10.2016Cancelled

No meeting this week.

04.11.2016Prof. Antoine Rauzy

Antoine will continue with his keynote presentation.

This week the 2nd part "Fundamental complexity results" is presented.

11.11.2016Prof. Antoine Rauzy

Antoine will continue with his keynote presentation.

The week the 3rd part "Model based system engineering" is presented.

18.11.2016Thor Myklebust

Thor Myklebust is going to give a scientific talk about RAMS in Railway sector, including assessment. The topic is delimited to signaling systems (mainly SIL4). (01 TM RAMS assessor_assessment CSM_NoBo_DeBo og ISA v03f40.pdf)

Thor Myklebust is currently the Research manager/Business developer in Functional Safety in SINTEF ICT Norway. He is a Cand. Scient. Physics year 1980-1986 from Norwegian University of Science and Technology. He has experience in certification of products and systems since 1987. Myklebust has participated in several international committees since 1988. He is now a member of

    • safety (NEK/IEC 65),
    • IEC 61508 committee,
    • railway (NEK/CENELEC/TC 9) and
    • NB-rail (notified bodies) since 2007.

He is the chairman of NB-rail October 2014-October 2015. And he is the founder of SafeScrum.

25.11.2016

Ass. Prof. Baoping Cai

Baoping Cai (City University of Hong Kong, China) will give a presentation about his research activities in the last decade.(NTNU-Our recent research.pdf)

He is the associate professor of China University of Petroleum and works as “Hong Kong Scholar” visiting researcher of City University of Hong Kong. He is the deputy director of experimental teaching center of mechanical engineering of China University of Petroleum, member of IEEE, and sensor member of Chinese mechanical engineering society. He has published more than 100 journal and conference papers, granted 35 China patents and 1 USA patent. He has published 3 monographs. In addition, he has finished 11 projects as PI, e.g. the national natural science foundation of China, the national high technology research and development program of China (863 Program) etc.

His research interests include reliability engineering, fault diagnosis, risk analysis, and Bayesian networks methodology and application. Currently, he is working on the Bayesian-network-based fault detection and diagnosis methodology and has developed two diagnosis systems for subsea blowout preventer and subsea Christmas tree system.

02.12.2016

Cancelled

No meeting this week.
09.12.2016CancelledChristmas lunch.
16.12.2016

Xiangfen Wang

Liu Yang

Please welcome Xiangfen Wang, a new visiting scholar from Beijing University of Aeronautics and Astronautics (Beihang University), China. She will introduce herself, the laboratory and her academic researches (20 min). Her current research focus is reliability evaluation for SRAM-based FPGA (Field Programmable Gate Array).

Besides, we have a new PhD Liu Yang, who is the student of Professor Antoine Rauzy. She graduated from the Sino-French Engineering School of Beihang University (Beijing, China). Her master’s thesis is “New Calculation Models of the Failure Risk assessment of Aero-Engine rotor disk”, where she developed a new algorithm and improved the calculation efficiency from hours to seconds. Her research topic in NTNU will be “Fault Tree Synthesis”, which allows to reconstruct a fault tree by the given system and its minimal cut sets. She will introduce herself and the topic (20 min).


Program first half 2016

The venue is VG12 in basement at NTNU-Valgrinda. Exceptions are February 26th, March 4th,  March 11th and March 18th when we got the next door room VG11

WhenWhoWhat
12.02.2016All

We'll meet at 11:00 in VG12 to plan the seminars for this spring.


19.02.2016Shengnan Wu & Ass. Prof. Nicola Paltrinieri

Please welcome the introductions of visiting PhD-student in the RAMS group (main contact person: Yiliu Liu), and at same time also our new Ass. Prof. Nicola Paltrinieri.



04.03.2016Hyung-Ju Kim

Presentation of journal paper submitted for review.

"Enhanced Barrier Management by Learning from Accident Causation Theories"

 Abstract

Several accident causation theories have been developed to identify why major accidents occur and to prevent them from occurring (see e.g., Rosness et al., 2010). The objective of this article is to investigate relations among the theories and suggest an enhanced barrier management process utilising the learnings from each accident causation theory. By utilising the accident causation theories and the barrier and operational risk analysis (BORA) as a basis, this article suggests two additional stages to the barrier management process and six additional risk influencing factors (RIFs) in the barrier analysis, which can enhance barrier management process. The enhanced barrier management process may facilitate effective and efficient control of risks which can lead to major accidents, and thereby it may contribute to preventing major accidents in many different industries where barriers play an important role for controlling risks.

18.03.2016

Geir-Ove Strand

Human factors in offshore drilling operations

Revisit of presentation on subject from late 2014. Finally, after years struggle navigating through many human factor domains we've managed to hopefully make a decent version that now has been submitted for puplication.


Abstract

The main principle for risk control during offshore well activities is to always maintain two independent and tested well barriers towards any potential source of inflow. The short lifespan and dynamic nature of well drilling operations makes this a challenge. Experiences from several industry accidents the last decade reveal that two well barriers were not properly maintained by the drilling crew during the operation, and thus that well safety was compromised. Probabilistic risk assessments are viewed as key in managing risk of low probability and high consequence activities. The purpose of this paper is to identify and discuss performance influencing factors relevant to performing well probabilistic risk assessments. In this paper we revisit four historic well accidents in the last decade based on the statements made by drilling personnel that the human-machine interface is vital in providing the drilling crew with a necessary understanding of in-situ wellbore flowrates and pressures. Monitoring the flowrates and pressures in the well are the most important factors in well control from a well energy containment perspective. Three out of the accidents appeared in support for the importance of monitoring in-situ flowrates and pressures to maintain well control. However, one accident occurred in spite of state of the art technology for wellbore pressure- and flowrate monitoring. This blowout can to a larger extent be explained as a violation that stem from an over-confidence emerging from use of this new technology. The over-confidence allowed for breaching the safe envelope of best drilling practises.

01.04.2016Prof. Antoine Rauzy

Course on Systems Engineering (discussion)

Antoine would like to present a course on Systems Engineering he created for Ecole Centrale Paris. The course is an introduction to Systems Engineering, or more exactly to Systems Modelling. It is delivered to the whole promotion of first year students (which corresponds to third year of the university), i.e. 500 students, on the flipped classroom principle.

This seminar aims at launching a discussion on what could be done at NTNU in this direction.

29.04.2016Mario Marcondes Machado

"Maintenance Optimization Approaches for Condition Based Maintenance: a review and analysis"

Authors: Mario Marcondes Machado and Cecilia Haskins.

 To appear at the 26th INCOSE.

There will be cake++ since we also will celebrate som B-days (wink)

20.05.2016

Ass. Prof. Nicola Paltrinieri.

Nicola will present the highlights from the book on dynamic risk assessments that is soon to be published.

ISBN: 9780128037652
ISBN-10: 0128037652
Audience: General 
Format: Paperback 
Language: English 
Number Of Pages: 250
Available: 1st September 2016
Publisher: Elsevier Science & Technology 
Country of Publication: GB
Edition Number: 1
03.06.2016Visiting Prof. Jorge Siopa

This week from Wednesday to Friday we have a visiting professor in the office from an ERASMUS program: Jorge Siopa from Polytechnic Institute of Leiria, Leiria, Portugal.

Prof. Siopa is in the process of 're-starting' his research activities again after many years of teaching.

Prof. Siopa will introduce himself, the Institute of Leira: http://www.ipleiria.pt/home/, and present some of his ideas for future research within topics of "maintenance optimisation".

Please meet up. Prof. Siopa is very interested in any inputs from us on potential research topics (maintenance optimisation). 

10.06.2016Ass. Prof. Phuc Do Van
Ass. Prof. Phuc Do Van, University of Nancy, France will give a presentation entitled:
"Energy efficiency for condition-based maintenance decision-making”
Phuc Do is currently working as an associate professor at Lorraine University, Research Centre for Automatic Control (CRAN CNRS UMR 7039), France. He received his Ph.D. in Systems Optimisation and Dependability in 2008 from Troyes University of Technology (France) where he held an assistant professor position from 2009 to 2011. His research interests include stochastic modelling for the evaluation/prediction of key performance indicators (reliability, energy efficiency, …), maintenance optimization (condition-based maintenance, prognostics-based maintenance decision-making, opportunistic and dynamic grouping maintenance), reliability importance measures and their related applications. Phuc Do supervised 4 pre-doctoral thesis and 4 PhD candidates. He has published 13 journal articles in journals (Reliability Engineering & System Safety, IEEE Transactions on Reliability, European Journal of Operational Research; Journal of Risk and Reliability, etc) and over 30 conference articles in international conferences. He is co-chair of the MIMAR2016 Conference (the 9th international conference on modelling in industrial maintenance and reliability, London, July 2016).
17.06.2016Florence Petiet
Note that the seminar is re-scheduled to: 10:00-11:00.
Florence Petiet will give an introduction to Bayesian Networks and their use in Reliability, as well as an overview of her research activity.
Florence is currently PHD candidate at IFSTTAR, France (http://www.ifsttar.fr/en/welcome/) and is visiting the RAMS group for 2 months.

IFSTTAR (1150 staff members) is The French Institute of Science and Technology for Transport, Development and Networks. 
IFSTTAR’s role is to carry out and commission, direct, lead and appraise research, development and innovation in the areas of urban engineering, civil engineering, and construction materials, natural hazards, the transportation of persons and goods, systems and means of transport and their safety, infrastructure, and investigate their uses and impacts from the technical, economic, social, health, energy, environmental and human points of view. This role is, in particular, focused on assisting its supervising ministries, other administrations and the organizations associated with them, local and regional authorities, European and international institutions, professional bodies, firms and users’ associations.
27.06.2016Postdoc Canh Hai Vu

Unfortunately, Canh Vu is leaving us next week. He has accepted a new job in Vietnam, and will start there in beginning of July. We therefore like to use this seminar to jointly say goodbye.

Before leaving us Canh will present an overview of his research in the SVV project

Since there is pizza served at 11:30, we will start seminar at 12:30.

Ice cream will be served. Please respond to this meeting request so that we know whether to buy 2, 3 or 10 liters of icecream.
 

--

No more meetings until August due to holiday season




Program second half 2015

DateWhoTopicWho's providing snack (cake, fruit, similar)?Alternate presenterAlternate topic 
26.08.2015Mario Marchondes Machado

Please welcome Mario, our newly arrived PhD visiting student from Petrobras (Brasil), who will introduce himself (10min).

Prof. Mary Ann Lundteigen

26.08.2015Ji-Min Lu

RESS paper (15minutes) Reliability analysis of large phased-mission systems with repairable components based on success-state sampling.
Reliability Engineering & System Safety, Volume 142, October 2015, Pages 123-133, Ji-Min Lu, Xiao-Yue Wu, Yiliu Liu, Mary Ann Lundteigen

"Jimmer'n" will also present some thoughts about his future research.




02.09.2015Sverre Kvalheim

ESREL paper 2015: CRM in offshore drilling (15min)

ESREL 2015_Sverre Kvalheim.pdf

Geir-Ove Strand

02.09.2015Abraham Almaw Jigar

ESREL paper 2015: Availability allocation (15min)

A new availability allocation method-ESREL presentation.pdf


Geir-Ove StrandESREL paper 2015 (revisited): BOP systems MPM reliability analysis; M05_051_Presentation.pptx
09.09.2015ESREL No meeting this week


16.09.2015Ms./Mrs. Yun Zhang & Mr. Juntao Zhang.Please welcome the introductions of two new PhD-students in the RAMS group (SFI SUBPRO). Both are former international master students at NTNU.Xue Yang

16.09.2015Postdoc Canh Hai Vu

ESREL paper 2015: Maintenance grouping (15min)





23.09.2015Prof. Genserik Reniers (TU Delft / University of Antwerp / KULeuven)

Presentation: "Cost-benefit assessment of safety measures”
 
Prof. Reniers is here to give a similar presentation at IO-conference 2015 (http://www.iocenter.no/info/programme).
This invitation has been organized by Nicola Paltrinieriat SINTEF. Many thanks to Nicola!

From http://www.tbm.tudelft.nl/: Prof.dr. G.L.L.M.E. Genserik Reniers obtained a Master's degree in chemical engineering at the Vrije Universiteit Brussel and received his PhD in Applied Economic Sciences from the University of Antwerp. He was appointed in a part-time capacity as a Full Professor at the Delft University of Technology, at the Safety and Security Science Group. At the University of Antwerp, he is a visiting/full professor lecturing amongst others in chemistry, organic chemistry, chemical process technology, and Technological Risk Management. He is also visiting professor Security Management at the Antwerp Management School, Risk Management at ITMMA, and Risk Analysis in a Postgraduate Disaster Management at VESTA. At the KULeuven campus of the HUB in Brussels he lectures as a professor, amongst others, in prevention management, advanced occupational health and safety management and chemical processes/unit operations. His main research interests concern the collaboration surrounding safety and security topics and socio-economic optimization within the chemical industry. He coordinates the Antwerp Research Group on Safety and Security, unifying multi-disciplinary safety and security research at the University of Antwerp. He has extensive experience in leading research projects funded both by the Belgian government and the chemical industry.

Harald Rødseth

30.09.2015Cancelled

Due to a lot of people absent today we will have to cancel this weeks meeting. As alternative this day we encourage you to go to Gløshaugen auditorium S4 at 08:15:

Liv Nielsen (HSE&Q Director in ENI Norge) will keep a guest lecture about the use of ALARP in offshore development projects:

Time: Wednesday 30.9 kl 0815-0930

Auditorium: S4 (Gløshaugen)

All are welcome!




07.10.2015Postdoc Canh Hai VuDiscussion of new idea about risk-based grouping maintenance.Abraham Almaw Jigar

14.10.2015Hyung-Ju Kim

Presentation of published paper: Reliability analysis of the IMO regulation - Safe Return to Port

Hyung-Ju Kim

Btw: Congrats to Hyung-Ju!

Hyung-Ju Kim, Stein Haugen & Ingrid Bouwer Utne

DOI:10.1080/17445302.2015.1023068

21.10.2015Prof. Mary Ann LundteigenPresentation of SFI SUBPRO (15-30min)


26.10.2015Geir-Ove StrandNB! This is a Monday meet from ca. 12:00 onwards. Paper peer-review run as miniseminar: Scrutiny of state of quantitative human/org. risk influence modelling. New concept of human error mechanisms and discussion of applicability to probabilistic risk assessments of well drilling ops.


28.10.2015Xue Yang

Presentation of draft paper: Risk Information for Operational Decision-Making in the Offshore Oil and Gas Industry (15min).

Sverre Kvalheim will be opponent.



Btw: Congrats to Xue on Classification of risk to support decision-making in hazardous processes!

Xue Yang & Stein Haugen
DOI:10.1016/j.ssci.2015.07.011

03.11.2015

Postdoc Fares Innal

Note that this is Tuesday (Nov. 3rd), that time is 10:00 in the morning, and venue is VG13 (Valgrinda).

Fares will give a lecture on Monte-Carlo simulation for reliability analysis kept as part of Mary Ann’s course (TPK5170). He will address uncertainty propagation of analysis in detail, something we assume will be of interest for most of you. Many thanks to Fares for a comprehensive introduction to MC. Material; INNAL_Simulation_NTNU.pdf, INNAL_Excel files to MC simulation presentation.zip




04.11.2015

Yun Zhang, Juntao Zhang & Mario Marcondes Machado.

Presentation of themselves and their work. Zhang & Zhang are fresh PhD candidates in SFI SUBPRO, and Mario is 1yr PhD exchange student from Petrobras and Brasil (down-stream process) working on maintenance optimisation with particular focus on condition monitoring.


11.11.2015Cancelled

No meeting this week




18.11.2015Cancelled

No meeting this week




25.11.2015BERLINNo meeting this week.


02.12.2015Cancelled

No meeting this week.

However, please note on Thursday and Friday that we have a visiting PhD student, Nan Zhang, who Anne is co-supervisor with Mitra Fouladirad from UTT. Nan Zhang is in her second year and is working on degradation modelling and prognostic. She has a background in applied mathematics. Welcome!




09.12.2015SUBPRO seminar
PHD seminar part of the SUBPRO project. The program is shown below. I think it can be of interest for us and can be a good replacement to our cancelled seminar.
Anne will go there with the SUBPRO members of the RAMS group. Please meet Anne's gang 13:30ish by the coffee machine for those other that would like to attend
*********************************************************************************************************************************************
Subject: SUBPRO PhD colloquium Wednesday 9 December
Dear SUBPRO team members

We remind you about the SUBPRO PhD Colloquium on Wednesday 9 December.

Place: Kjemiblokk V, 2nd floor, Room 201

Time: 14:00 - 15:30

Pizza will be served.

Program:

·         Short introduction the area of System control (Sigurd Skogestad)

·         Project 3.7 Estimation of unmeasured process variables (PhD candidate Tamal Das)

·         Project 3.8 Control degrees of freedom for optimal operation and extending remaining useful life  (PhD candidate Adriaen Verheyleweghen)

·         Comments and informal discussions


We encourage SUBPRO people from all projects to participate, as the intention with these colloquia is to inspire collaboration across the projects.  

Welcome,

Jon Lippe

Project Coordinator, SUBPRO project

Subsea Production and Processing

Email: jon.lippe@ntnu.no

http://www.ntnu.edu/subpro





16.12.2015Harald Rødseth

Improving maintenance by profit indicators




--

No more meetings in 2015 due to holiday season





  • No labels