Li, Y, Li, K orcid.org/0000-0001-6657-0522, Yin, M et al. (1 more author) (2019) Advances in fault diagnosis for high-speed railway: A review. In: 2019 6th International Conference on Frontiers of Industrial Engineering, ICFIE 2019. 2019 6th International Conference on Frontiers of Industrial Engineering, 10-12 Sep 2019, London, United Kingdom. IEEE , pp. 67-72. ISBN 9781728145594
Abstract
The high speed railway (HSR) is a complex system with many subsystems and components. The reliability of its core subsystems is a key consideration in ensuring the safety and operation efficiency of the whole system. As the service time increases, the degradation of these subsystems and components may lead to a range of faults and deteriorate the whole system performance. To ensure the operation safety and to develop reasonable maintenance strategies, fault detection and isolation is an indispensable functionality in high speed railway systems. In this paper, the traction power supply system, bogie system, civil infrastructure system, and control and signaling system of HSR are briefly summarized, and then different fault diagnosis methods for these subsystems are comprehensively reviewed. Finally, some future research topics are discussed.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2019, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | high-speed railway (HSR); fault diagnosis; traction power supply system (TPSS); bogie system |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Jan 2020 11:36 |
Last Modified: | 15 Jan 2020 16:20 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICFIE.2019.8907774 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154940 |