Prognostic and Health Management of Overhead Contact Lines for High-Speed Railway

This book summarizes the findings of several research projects on high-speed Overhead Catenary Systems (OCS). It covers the system's functions, key components and failure modes, as well as reliability, availability, maintainability, and safety metrics, along with methods for component-level design and system-level reliability allocation. It also presents dynamic models and simulation analyses for single and double pantograph operations, introduces exogenous failure prediction under conditions such as lightning, strong wind, and haze, and explores endogenous fault and risk prediction using Bayesian networks. Additionally, it outlines availability assessment methods based on Markov processes and stochastic Petri nets, and proposes health management strategies focused on optimizing maintenance and inspection cycles.

Yu Long, is a professor and doctoral supervisor at the School of Electrical Engineering, Southwest Jiaotong University. He has been engaged in teaching and research on intelligent operation and maintenance of traction power supply for a long time, and is a visiting scholar at the University of Birmingham, UK, between 2019 and 2020. Prof. Yu Long has a deep understanding of the theories of high-speed railroad bow network relationship and contact network RAMS assessment, and has successfully applied them in engineering practice, solving many technical problems in high-speed railroad bow network operation and maintenance, and has won one second prize of national scientific and technological progress, and one special prize of scientific and technological progress of the China Railway Society; he has published one monograph; and has published more than 70 theses, of which 34 are SCI/EI indexed; He has obtained 4 authorized invention patents, 4 utility model patents and 1 software copyright.

Gao Shibin, is a professor and doctoral supervisor at the School of Electrical Engineering, Southwest Jiaotong University. He is director of National Railway Electrification and Automation Engineering and Technology Research Center, selected for “National Project of One Hundred Million Talents” and awarded as a young and middle-aged expert with outstanding contributions, enjoying the special government allowance, member of Sichuan-Tibet Railway Construction Advisory Expert Committee, expert of the Expert Group for the National Science and Technology Key Special Project (High-speed Train Special Project), academic and technical leader of Sichuan Province, and outstanding expert with outstanding contributions of Sichuan Province. He is a member of the Advisory Committee for the Construction of Sichuan-Tibet Railway, an expert of the Expert Group for the National Science and Technology Key Special Project (High-speed Train Special Project), an academic and technical leader in Sichuan Province, and an outstanding expert with outstanding contributions in Sichuan Province. His main research interests include: automation of traction power supply, energy saving, emission reduction and operation safety of traction power supply system, and power system security analysis. He has presided over more than 50 national/provincial research projects.

Liu Zhigang, is a professor and doctoral supervisor at the School of Electrical Engineering, Southwest Jiaotong University. Associate Editor of several journals including IEEE Fellow, IET Fellow, etc. Global Top 2% - Lifetime Scientific Impact Ranking (1960-2023), 2020-2023 List of Top 2% Global Top Scientists, Elsevier China Highly Cited Scholar. Research Direction:(1) Power system under the new energy system - traction power supply system. (2) High-speed railroad rolling stock-traction network electrical relations. (3) Artificial Intelligence Theory and Its Application in Vehicle-Network Relationships. (4) Design and optimization of advanced current receiving system for high-speed railways. He has published more than 200 SCI/EI papers, including 68 IEEE Transactions papers by the first author/corresponding author, 3 English monographs and 1 Chinese monograph; 87 authorized invention patents and 5 software copyrights.