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This book systematically explains the theoretical framework of Prognostics and Health Management (PHM) for traction power substations in high-speed railways, focusing on PHM concepts and development. It provides an overview of fault diagnosis and prediction for these substations, complemented by practical examples. The integration of equipment service performance, degradation patterns, fault evolution processes, and intelligent early warning mechanisms is discussed to conduct health assessments of traction power substations. Reliability and risk assessments are conducted considering operational characteristics, relay protection, and multi-factor integration, followed by case analyses. Furthermore, maintenance decision-making and optimization research are explored, encompassing degradation modeling, fault prediction, risk assessment, and multi-attribute decision-making approaches. By incorporating PHM technology into high-speed railway traction power substations, it leverages existing monitoring data while integrating and processing multi-source system information. This enables timely prediction and warning of system and equipment failures, aiding operators in maintaining the system health and conducting reliability assessments. This ensures that the traction power supply system operates efficiently, minimizing failures. Corresponding maintenance strategies are formulated based on evaluation results, enhancing the system safe and reliable operation in terms of various aspects such as reliability and economy, etc.
List of contents
Chapter 1. The development history and current applications of Prognostics and Health Management (PHM).- Chapter 2. Fault diagnosis of high-speed railway traction power supply system.- Chapter 3. Failure prediction of high-speed railway traction power supply system.- Chapter 4. Health evaluation of high-speed railway traction power supply system.- Chapter 5. Reliability and risk assessment of high-speed railway traction power supply system.- Chapter 6. Maintenance decision-making of high-speed railway traction power supply system.
About the author
Zhengyou He received the B.Sc. and M.Sc. degrees in Computational Mechanics, in Chongqing University, Chongqing, China, in 1992 and 1995, respectively, and the Ph.D. degree in Electrical Engineering in Southwest Jiaotong University, Chengdu, China, in 2001. Currently, he is the vice president of Southwest Jiaotong University, Chengdu, China. His research interests include signal processing, fault diagnosis and reliability analysis in power systems and high-speed railway traction power supply system.
Summary
This book systematically explains the theoretical framework of Prognostics and Health Management (PHM) for traction power substations in high-speed railways, focusing on PHM concepts and development. It provides an overview of fault diagnosis and prediction for these substations, complemented by practical examples. The integration of equipment service performance, degradation patterns, fault evolution processes, and intelligent early warning mechanisms is discussed to conduct health assessments of traction power substations. Reliability and risk assessments are conducted considering operational characteristics, relay protection, and multi-factor integration, followed by case analyses. Furthermore, maintenance decision-making and optimization research are explored, encompassing degradation modeling, fault prediction, risk assessment, and multi-attribute decision-making approaches. By incorporating PHM technology into high-speed railway traction power substations, it leverages existing monitoring data while integrating and processing multi-source system information. This enables timely prediction and warning of system and equipment failures, aiding operators in maintaining the system health and conducting reliability assessments. This ensures that the traction power supply system operates efficiently, minimizing failures. Corresponding maintenance strategies are formulated based on evaluation results, enhancing the system safe and reliable operation in terms of various aspects such as reliability and economy, etc.
