A technical framework of PHM and active maintenance for modern high-speed railway traction power supply systems. Issue 3 (3rd July 2017)

• Record Type: Journal Article
• Authors: Feng, Ding; Lin, Sheng; He, Zhengyou; Sun, Xiaojun
• Is Part Of: International journal of rail transportation. Volume 5:Issue 3(2017)
• Page Start: 145
• Page End: 169
• Publication Date: 2017-07-03
• Subjects: High-speed railway -- traction power supply system -- data management -- fault detection -- health diagnosis -- maintenance decision-making -- PHM system; Railroads -- Periodicals; Railroads; Periodicals; 385
• DOI: 10.1080/23248378.2017.1286954
• Languages: English
• ISSNs: 2324-8378

Abstract

ABSTRACT: The safety and reliability of traction power supply systems (TPSSs) have aroused concern for the long-term development of high-speed railway (HSR) in China. To improve the current TPSS maintenance situation, it is essential to manage and make full use of the abundant data from on-line sensors and off-line tests for fault detection and prediction. This paper proposes a novel framework using prognostics and health management and active maintenance (PHM-AM) technology for TPSS maintenance. The hardware components and software modules needed to implement the proposed PHM-AM framework are described in details. Subsequently, several methodologies are employed to address the issues of data management, utilization, and maintenance in TPSSs. Finally, the implementation of the PHM-AM system is illustrated through three case studies and a preliminary software interface. These examples help to bridge the gap between theoretical modelling and the practical application of fault detection, health diagnosis, and maintenance decision-making methods in TPSSs.