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Prognostics and health management of high-speed railway traction power substations

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Prognostics and health management of high-speed railway traction power substations/ by Zhengyou He ... [et al.].
其他作者:	He, Zhengyou.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xiii, 333 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Electric substations - Maintenance and repair. -
電子資源:	https://doi.org/10.1007/978-981-95-4538-4
ISBN:	9789819545384

Prognostics and health management of high-speed railway traction power substations
Prognostics and health management of high-speed railway traction power substations[electronic resource] /by Zhengyou He ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiii, 333 p. :ill., digital ;24 cm.

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.

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 safe and reliable operation of the system in terms of various aspects such as reliability and economy, etc.

ISBN: 9789819545384

Standard No.: 10.1007/978-981-95-4538-4doiSubjects--Topical Terms:

3804614
Electric substations
--Maintenance and repair.

LC Class. No.: TK1751

Dewey Class. No.: 621.3126

Prognostics and health management of high-speed railway traction power substations
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520 $a 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 safe and reliable operation of the system in terms of various aspects such as reliability and economy, etc.
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650 2 4 $a Power Stations. $3 3592504
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