Special Session IX

Reliability Analysis and Maintenance Optimization for Complex Systems

The high integration of modern industrial systems poses significant challenges in the performance assessment and optimization of complex systems. Engineering systems with multiple components are usually subject to time-dependent working loads that substantially increase the complexity and dependency in reliability analysis. System maintenance has considerable merits in maintaining system function while it closely relies on the development of advanced technologies, e.g., system monitoring, diagnostic and prognostic, decision-making, uncertainty quantification, etc.

This special session aims to attract researchers developing novel approaches and solutions to tackle the reliability, availability, maintainability, and safety (RAMS) of complex systems.

现代工业系统的高度集成对性能评估和维护优化提出了新的挑战。这些系统在结构上由多个组件组成,这些组件受到随时间变化的工作条件的影响,这导致了可靠性分析的复杂性和依赖性。系统维护在维持系统功能方面具有相当大的优点,高度依赖于现代技术的发展,例如系统监测、诊断和预测以及决策等。 本届专题研讨会旨在吸引研究同行探究有关可靠性,可用性,可维护性和安全性(RAMS)复杂系统的解决方案。

Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

●Complex system structure design and optimization; 复杂的系统结构设计与优化
●New methods in complex system analysis; 复杂系统分析的新方法
●Dynamic reliability and risk assessment for complex industrial systems; 复杂工业系统的动态可靠性和风险评估
●Machine learning in system operation and maintenance; 机器学习在系统运维中的应用
●Knowledge-driven learning for smart system operation; 基于知识驱动学习的智能系统运作
●Predictive maintenance and optimization. 预测性维护和优化

Chair: Lechang Yang, University of Science and Technology Beijing, China

Lechang Yang is currently an Associate Professor at the School of Mechanical Engineering, University of Science and Technology Beijing (USTB) and a postdoc research fellow at the City University of Hong Kong (CityU) under the Hong Kong Scholars Program. He holds a Ph.D. degree in system engineering and a bachelor’s degree in aircraft design, both obtained from Beihang University, China. He has published about 30 research papers in high-quality peer-reviewed journals, such as MSSP, RESS, ITR, and INS. He won the best paper award at the 2019 Prognostics and System Health Management Conference (PHM 2019) in Paris, France. (E-Mail: yanglechang@ustb.edu.cn)

杨乐昌,北京科技大学副教授,人社部“香江学者”,中国系统工程学会系统可靠性工程专业委员会委员,中国运筹学会智能计算分会委员、可靠性分会青年委员。主持国家自然科学基金(面上、青年)项目、广东省自然科学基金(面上)项目,航空科学基金(自由探索类)项目、中国博士后科学基金(一等面上)项目,作为课题骨干参与国家973项目、国家重点研发计划重点专项等重大科研项目的研究工作。发表MSSP、RESS、ITR、INS等高水平学术论文30余篇,出版译著《结构可靠性分析与预测》一部,获2019年故障诊断与系统健康管理国际会议(2019 PHM-Paris)最佳论文奖

Chair: Aibo Zhang, University of Science and Technology Beijing, China

Aibo Zhang received his PhD degree in Mechanical and Industrial Engineering from the Norwegian University of Science and Technology (NTNU) in 2021. He serves as currently an associate professor at the School of Mechanical Engineering, University of Science and Technology Beijing (USTB). Prior to this, he was a postdoctoral fellow at the Department of Advanced Design and System Engineering, City University of Hong Kong (CityU). His research interests include reliability engineering, maintenance optimization, and safety-instrumented systems (SISs) performance analysis.


Chair: Xiaoge Zhang, Hong Kong Polytechnic University, Hong Kong SAR, China

Xiaoge Zhang received his Ph.D. degree in systems engineering and operations research from Vanderbilt University, Nashville, TN, United States, in 2019. He is currently an Assistant Professor in the Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University. Prior to joining PolyU, he worked as a senior operations research analyst at FedEx Express for 1.5 years. His research interests include reliability analysis of complex systems, machine learning, and uncertainty quantification with applications to high-stakes areas.

张晓革,博士,现任香港理工大学工业与系统工程系助理教授,主要从事智能系统的可靠性与风险评估、不确定性度量等方面的工作。目前主持香港研究资助局的Early Career Scheme项目一项。在Reliability Engineering & Systems Safety、Risk Analysis、IEEE Transactions on Reliability、IEEE Transactions on Cybernetics、IEEE Transactions on Intelligent Transportation Systems、Decision Support Systems等期刊发表论文50余篇。

Chair: Yuqiang Fu, University of Science and Technology Beijing, China

Yuqiang Fu received his Ph. D in management science and engineering from the University of Chinese Academy of Sciences, Beijing, China, in 2019. He is a lecturer in the School of Mathematics and Physics from the University of Science and Technology Beijing. His research interests include mathematical modelling, design of reliability systems, optimization, reliability statistics, and importance measures. (E-Mail: fuyuqiang@ustb.edu.cn)


 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 9.

For any questions, please mail the organizers or conference secretary srse@sciei.org.



© SRSE 2019-2023 | Beijing, China | Email: srse@sciei.org