Integrated Physics-informed and Data-driven Approaches for System Degradation Modeling, Reliability Analysis and Maintenance Planning
基于物理信息与数据驱动集成方法的系统退化建模、可靠性分析和维护计划
Degradation modeling, reliability analysis and maintenance planning are crucial in the design and management of complex systems. While many efforts have been dedicated to the development and application of advanced statistical data-driven methods in system design and management, there is also a recognition of the value of incorporating physical information, such as physics-of-failure models, domain knowledge, and underlying system behaviors. The purpose of this special session is to discuss how to develop approaches which integrate physical information and field data to support system degradation modeling, reliability analysis and maintenance planning and how the integrated approaches can enhance the degradation modeling, reliability analysis and maintenance planning of systems.
退化建模、可靠性分析和维护计划在复杂系统的设计和管理中至关重要。虽然许多研究工作已经致力于发展和应用先进的数据驱动方法，但其对系统的物理信息和运行机制（如失效物理模型、领域知识和动态特性等）的理解和利用尚不充分。本专题旨在讨论如何综合利用物理信息和领域数据，进一步发展系统退化建模、可靠性分析和维护计划的相关理论、方法与工程应用。
Related topics: Some topics that are relevant may include, but are not limited to: accelerated degradation test; failure mechanism analysis; reliability evaluation; stochastic degradation modeling; physics-of-failure modeling; physics-informed degradation modeling, prognostics; maintenance planning.
相关主题包括但不限于：加速退化试验；失效机理分析；可靠性评估；随机退化建模；失效物理模型；基于物理信息的退化建模和预测；维护计划。
Chair: Biao Lu, Nanjing University of Aeronautics and Astronautics, China
Biao Lu is currently an assistant professor with the Department of management science and engineering, College of Economic and Management, Nanjing University of Aeronautics and Astronautics. He received his doctoral degree in mechanical engineering in 2019 from Shanghai Jiao Tong University, China. He is now a visiting scholar with the Department of Industrial Systems Engineering and Management, National University of Singapore, supervised by Prof. Ye Zhisheng. His research interests include reliability evaluation, maintenance optimization, and their applications in manufacturing systems. He is currently the author of more than 20 journal papers in the field of reliability and maintenance engineering. (E-Mail: lubiao123@nuaa.edu.cn)
陆彪，2019年在上海交通大学获得机械工程专业博士学位，现为南京航空航天大学经济与管理学院助理教授。目前在新加坡国立大学工业工程与系统管理系做访问学者，合作导师为叶志盛副教授。主要研究方向为可靠性评估、维护优化及其在制造系统中的应用，已在可靠性和维护领域发表了20多篇期刊论文。
Chair: Yifan Hu, Harbin Institute of Technology, China
Yifan Hu is currently pursuing the Ph.D. degree with the School of Electrical Engineering and Automation, Harbin Institute of Technology, China. Now, he is also a Visiting Research Scholar with the Department of Industrial Systems Engineering and Management, National University of Singapore. His current research interests include degradation modeling, reliability evaluation and health management for power electronic systems. He has published in peer-reviewed journals including Reliability Engineering & System Safety, IEEE Transactions on Instrumentation and Measurement, Microelectronics Reliability, etc. (E-Mail: yifanhu_123@163.com)
胡义凡，博士就读于哈尔滨工业大学电气工程及自动化学院，目前在新加坡国立大学工业工程与系统管理系访学。主要研究方向为电力电子系统退化建模、可靠性评估与健康管理。已在Reliability Engineering & System Safety, IEEE Transactions on Instrumentation and Measurement, Microelectronics Reliability等国际知名期刊发表多篇论文。
Submission Portal
If you are interested in the special
session, please submit your paper or abstract here
https://www.zmeeting.org/submission/srse2023 and choose special session 5.
For any questions, please mail the organizers or conference secretary
srse@sciei.org.
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