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NB: The seminars are also on Teams, feel free to join.
Program 2023 Autumn
| When | Who | What |
|---|---|---|
| 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. |
Program 2023 Spring
| When | Who | What |
|---|---|---|
| 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. |
| 25.05.2023 | Dr. 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 |
| 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. |
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cancelled | |
30.03.2023 13:00-14:00 | Ph.D. Candidate Yixin Zhao | 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. |
| 23.03.2023 | IEEE 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:
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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