A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains

被引:265
|
作者
Chen, Hongtian [1 ,2 ]
Jiang, Bin [1 ,2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Div Automat Engn, Coll Automat Engn, Nanjing 211106, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Jiangsu Key Lab Internet Things & Control Technol, Nanjing 211106, Peoples R China
基金
中国国家自然科学基金;
关键词
Circuit faults; Fault detection; Mathematical model; Analytical models; Transportation; Temperature sensors; Fault detection and diagnosis (FDD); traction systems; high-speed trains; CANONICAL CORRELATION-ANALYSIS; TOLERANT CONTROL; SIGNAL; MODEL; VIBRATION; OBSERVER; VOLTAGE; IDENTIFICATION; COMPENSATION; FRAMEWORK;
D O I
10.1109/TITS.2019.2897583
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
High-speed trains have become one of the most important and advanced branches of intelligent transportation, of which the reliability and safety are still not mature enough for keeping up with other aspects. The first objective of this paper is to present a comprehensive review on the fault detection and diagnosis (FDD) techniques for high-speed trains. The second purpose of this work is, motivated by the pros and cons of the FDD methods for high-speed trains, to provide researchers and practitioners with informative guidance. Then, the application of FDD for high-speed trains is presented using data-driven methods which are receiving increasing attention in transportation fields over the past ten years. Finally, the challenges and promising issues are speculated for the future investigation.
引用
收藏
页码:450 / 465
页数:16
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