Health-aware and system reliability optimization | Public Forum
学术
科技
2024-11-22 20:57
湖北
The 51st Public Forum for Engineering Management will focus on "Health-aware and system reliability optimization" and will take place on Nov 25th, 2024, from 16:00-17:30pm (CST) via Tencent Meeting (ID: 192 757 456, Code: 1125). The forum is organized by the Frontiers of Engineering Management, the School of Management at Huazhong University of Science and Technology and IEEE Reliability Society (Xian Section Chapter).
Shubin Si, a professor in the Department of Industrial Engineering at Northwestern Polytechnical University, will host the forum, and we have invited two experts in the field to share their research on this important topic: Christophe BERENGUER, a full professor in Reliability and Maintenance, Systems Monitoring and Control Systems GIPSA-lab, Université Grenoble Alpes, CNRS, Grenoble INP, France, David W. Coit, a Professor in the Department of Industrial & Systems Engineering at Rutgers University, Piscataway, NJ, USA.
We welcome all teachers and students who are interested in this subject to join us for what promises to be an informative and engaging event.
Frontiers of Engineering ManagementSchool of Management, Huazhong University of Science and TechnologyConference Time：16:00-17:30pm, 25th Nov（the standard Beijing time）
Tencent Meeting ID：192 757 456 (Code: 1125)
Moderator: Shubin Si, Northwestern Polytechnical University
· 16:00-16:40
Health Aware Control of Degrading SystemsChristophe BERENGUER，Université Grenoble AlpesMaintenance and Design Optimization for Systems of Dependent Degrading Components
David Coit，Rutgers University
Introduction of Keynote Speakers
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Christophe BERENGUER is Full Professor in Reliability and Maintenance, Systems Monitoring and Control Systems GIPSA-lab, Université Grenoble Alpes, CNRS, Grenoble INP, France. His main research interests mainly include stochastic modelling of system and structure deterioration, maintenance decision-making, performance assessment models of condition-based & predictive maintenance policies, diagnosis and prognosis of systems, systems health management, reliability models for probabilistic safety assessment. He has supervised more than 30 PhD students. He is co-chairman of the ESRA Technical Committee on Maintenance Modelling and Applications.In this talk, we first consider the issue of health-aware—or damage-mitigating—control, which aims to balance system performance with minimizing deterioration of the controlled system. We highlight key requirements to address this challenge. Next, we demonstrate how reliability theory and control theory can be leveraged to design a health-aware control architecture and develop the associated control law for systems undergoing degradation. The proposed approach is illustrated through its application to a wind turbine, showcasing its effectiveness.
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David Coit is a Professor in the Department of Industrial & Systems Engineering at Rutgers University, Piscataway, NJ, USA. He has also had visiting professor positions at Universite Paris-Saclay, France and Tsinghua University, China. His current teaching and research involves system reliability modeling and optimization, and energy systems optimization. He has over 140 published journal papers and over 100 peer-reviewed conference papers (h-index 66). He is currently an Associate Editor for IEEE Transactions on Reliability and Journal of Risk and Reliability and for 15 years was a Department Editor for IISE Transactions. He has been a special issue editor for IISE Transactions, Reliability Engineering & System Safety and Computers & Industrial Engineering. His research has been funded by USA National Science Foundation (NSF), U.S. Army, U.S. Navy, industry. His NSF grants included a CAREER grant to develop new reliability optimization algorithms considering uncertainty. He was also the recipient of the P. K. McElroy award, Alain O. Plait award and William A. J. Golomski award for best papers and tutorials at the Reliability and Maintainability Symposium (RAMS). Prof. Coit received a BS degree in mechanical engineering from Cornell University, an MBA from Rensselaer Polytechnic Institute (RPI), and MS and PhD in industrial engineering from the University of Pittsburgh. He is a fellow of Institute of Industrial & Systems Engineers (IISE).
Effective operation of critical systems requires reliable designs that can be optimally maintained. However, system reliability optimization models and analyses becomes challenging when the failure processes, such as degradation failures and random shocks, are competing and dependent. In this talk, we first explore the impact on system reliability of dependent failure time or degradation, and later extend maintenance and design optimization models to incorporate dependent failures and the combined decision-making processes. These new models combine redundancy allocation and maintenance decision-making to provide an integrated approach to minimize the system cost rate. The integrated problem is formulated as a two-stage stochastic programming model with recourse. This is on-going research, but preliminary results show advantages of the proposed integrated model.Introduction of Moderator
Dr. Shubin Si is a professor in the Department of Industrial Engineering at Northwestern Polytechnical University (NPU), Xi’an, China. He received his Ph.D. degree in management science and engineering from NPU. His research interests include importance measure, system reliability optimization, resilience analysis for complex networks and has published more than 100 research papers in international journals such as PNAS，IISE Transactions, IEEE Transactions on Reliability, Reliability Engineering and System Safety, IEEE Transactions on Industrial Informatics,etc. He is an Associate Editor for IEEE Transactions on Reliability, a vice Chairman of Reliability Committee of Operation Research Society of China,and a Vice Chairman of Industrial Engineering Committee of Chinese Society of Optimization, Overall Planning and Economic Mathematics. He is also a senior Member of IISE and a senior Member of IEEE.
Frontiers of Engineering Management
Frontiers of Engineering Management (FEM) is a quarterly research journal that is supervised by the Chinese Academy of Engineering and administered jointly by Higher Education Press, Tsinghua University, and Huazhong University of Science and Technology. It is published in English, both in print and online, and is designed to provide an international platform for academicians, researchers, professionals, and practitioners in the broad field of engineering management to share knowledge in the form of research articles, reviews, comments, and super engineering.FEM is organized in an international dimension and strives to promote the advancement of the science of engineering management, improve the practice of engineering management, and prepare practitioners and researchers in the field. With its high-quality contributions, FEM plays an important role in fostering collaborations and advancing the state of the art in engineering management.
Online Public Forum for Engineering Management
Since the end of 2020, the Frontiers of Engineering Management editorial office has launched a series of successful Online Public Forums for Engineering Management, which have attracted many researchers from across China. These forums feature keynote speeches from academicians, renowned experts, and authors of FEM, both from China and abroad.As a platform for sharing knowledge and fostering collaboration, the Online Public Forum for Engineering Management has been an important part of FEM's efforts to promote the advancement of the science and practice of engineering management. Through these events, FEM has helped to connect researchers, practitioners, and experts in the field, and to provide valuable insights into the latest research and trends in engineering management.
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