Special Issue on Advances and Novel Applications in Systems Reliability and Safety Engineering (Selected papers of the International Conference of SRSE 2023)

The 5th International Conference on System Reliability and Safety Engineering (SRSE 2023) was held in Beijing, China from October 20-23, 2023, conjunction with the annual meeting of Institute for Quality and Reliability (IQR), Tsinghua University. The conference is sponsored by Tsinghua University, supported by National University of Singapore, organized by Institute for Quality and Reliability, Tsinghua University, co-organized by Department of Industrial Engineering, Tsinghua University, patrons with Beijing Institute of Technology, Harbin Institute of Technology, Nanjing University of Science and Technology, Qingdao University, Shanghai University, Shanghai Jiao Tong University, Northwestern Polytechnical University, Sun Yat-sen University, City University of Hong Kong, University of Alberta, etc.

SRSE is an annual event for researchers in system reliability and safety engineering and practitioners who are interested in the latest techniques in the field of reliability engineering. This special issue aims to attract the latest ideas and emerging research related to systems reliability and safety engineering. It aims not only to advance the state-of-the-art methodologies but also their novel applications in solving real world problems. The following topics of research are very much welcomed. In particular, the special issue is open to all papers that have been accepted and presented in SRSE 2023:

• *Data-driven Methods of Systems Reliability and Maintenance Analysis
  *Prognostics and Management of Health and Risk for Battery Systems
  *Novel Operation and Maintenance Solutions for Complicated Systems
  *Weakness Analysis for Complex Systems by Advanced AI Technology
  *Integrated Physics-informed and Data-driven Approaches for System Degradation Modeling and Maintenance Planning
  *Data Science and Business Analytics in Reliability
  *High Safety, High Reliability and High Intelligence in Nuclear Energy
  *Resilience of Cyber-physical System: Methodologies and Applications
  *Reliability Analysis and Maintenance Optimization for Complex Systems
  *AI-based Method of Prognostics and Health Management
  *Data-Driven Reliability Modeling for Failure Data Analysis and Risk Prediction
  *Resilience of Urban Infrastructure System
  *System Reliability & Resilience Modeling and Optimization in Industrial Engineering
  *Dynamic Modeling of Reliability and Maintainability