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WhenWhoWhat
27.04.2023

Ph.D. Candidate Giulia Collina

Leonardo Giannini



New Ph.D. Candidate Self-introduction

About Giulia Collina Collina:



Title: To be decided

Abstract: To be decided

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.

New Ph.D. Candidate Self-introduction

About Giulia Collina:



13.04.2023To be decidedTo be decided

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. 

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