Intelligent Safety and Reliability Analysis of Rail Transit Trains
Description
This book highlights a theoretical framework for architecting the safety and reliability analysis of rail transit trains for active safety assurance. Rail transit is compared to the main artery of regional economy and the backbone of urban travel. The safety and reliability of trains is directly associated with the punctuality and safety of passengers, as well as the transport capacity and efficiency of rail transit. High-intensity operation, complex working conditions, and external random interference have brought new challenges to the effective analysis of the safety and reliability of rail transit trains. The book provides a timely solution to the challenges by providing a theoretical framework that can improve the capacities of systematic, real-time, predictive reliability analysis, and enable it to guide the condition-based repair, operation and maintenance means. The book systematically covers topics including the train operation risk analysis methods, health identification and real-time reliability analysis of key train components, and the polymorphic reliability evaluation and the optimization methods of multi-component condition-based maintenance decision for train systems. It also conducts an in-depth discussion on new advances in safety assurance and health management of rail transit trains. The book can be used as a theoretical reference for postgraduate students in related majors and as a valuable handbook for engineers and technicians working on rail transit trains.
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Yong Qin received his Ph.D. from China Academy of Railway Sciences in Transportation Information Engineering and Control. He is currently a Professor with the State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China. His research mainly focuses on train scheduling optimization and emergency dispatching, and intelligent transportation system.
Zhi-Peng Wang received his Ph.D. from Beihang University, China. He is currently a Professor with the School of Traffic and Transportation, Beijing Jiaotong University, China. His research interests include prognostics & health management and safety detection.
Lin-Lin Kou received her Ph.D. in Safety Science and Engineering from Beijing Jiaotong University, China. She works with Beijing Mass Transit Railway Operation Corp. ltd. as a senior engineer. Her research interests include railway safety inspection, reliability evaluation and network optimization.
Xue-Jun Zhao received Ph.D. degree in Safety Science and Engineering from Beijing Jiaotong University, China. He works with CRRC Academy as an engineer. His research interests mainly focus on algorithm deployment and acceleration.
Yong Fu received Ph.D. degree in Safety Science and Engineering from Beijing Jiaotong University, China. He is currently an engineer in Zhuzhou CRRC Times Electric Co., Ltd., China. His research interests include operational reliability and safety analysis.
Li-Min Jia received his Ph.D. from China Academy of Railway Sciences in Transportation Information Engineering and Control. He is currently a Professor with the School of Traffic and Transportation, Beijing Jiaotong University, China. His research interests include intelligent control, system safety, and fault diagnosis.
Content
Introduction.- Operational Risk Analysis of Railway Train Systems.- Service State Identification of Key Train Components Based on Artificial Intelligence and Signal Processing.- Real-time Reliability Prediction of Key Components of Railway Train Based on Data-driven Method.- Multi-state Reliability Analysis of Railway Train Systems Based on the Network Flow Theory.- Optimization Methods for Multi-component Condition-based Maintenance of Rail Transit Train Systems.- Postface.