11月25日下午16:00工程管理公益讲坛（五十一）健康感知与系统可靠性优化将于以下平台同步直播。
工程院院刊《工程管理前沿（英文）》和华中科技大学管理学院联合IEEE Reliability Society (Xian Section Chapter)于11月25日下午16:00-17:30在腾讯会议（ID：192 757 456，密码：1125），举办工程管理公益讲坛（五十一）——健康感知与系统可靠性优化。
本期讲坛由西北工业大学司书宾教授主持，特别邀请法国格勒诺布尔阿尔卑斯大学Christophe BERENGUER教授和美国罗格斯大学David Coit教授做主题报告。
工程院院刊《工程管理前沿（英文）》
华中科技大学管理学院
2024年11月22日
会议时间：11月25日下午16:00-17:30（北京时间）
腾讯会议ID：192 757 456，密码：1125
主持人：司书宾，西北工业大学
· 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 UniversityChristophe 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.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》是由中国工程院主管，中国工程院、高等教育出版社、清华大学和华中科技大学联合主办，由高等教育出版社和Springer联合出版的全英文学术季刊。《Frontiers of Engineering Management》致力于促进工程管理理论发展、应用实践及人才培养。为工程管理学科科研与教学工作者、一线实践工作者提供高品质国际交流平台，以研究论文、案例研究综述论文、特别报告等多种形式发布与共享工程管理新知。期刊先后被ESCI、Scopus、CSCD、FMS、AMI等数据库或列表收录。据JCR报告，2023年影响因子9.1。工程管理公益讲坛由中国工程院院刊《Frontiers of Engineering Management》编辑部主办，邀请工程管理领域知名专家、期刊编委、特约通讯专家和作者介绍本领域最新研究成果，以线上会议形式为主、不定期开展的学术交流活动。本讲坛是公益性活动，免费为广大从事工程管理和管理科学与工程学者搭建学术平台，旨在提高《Frontiers of Engineering Management》期刊影响力，促进工程管理领域学者学术交流，推动我国工程管理学科发展。Frontiers of Engineering ManagementTel：+86-27-87540191
E-mail：fem@hust.edu.cn
Huijing HUANG（黄慧靖）
Tel：+86-10-58556289E-mail：huanghj@hep.com.cn https://mc.manuscriptcentral.com/femhttp://journal.hep.com.cn/femhttps://www.springer.com/journal/42524https://www.engineering.org.cn/ch/journal/fem
