Journal
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Volume 21, Issue 2, Pages 450-465Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2019.2897583
Keywords
Circuit faults; Fault detection; Mathematical model; Analytical models; Transportation; Temperature sensors; Fault detection and diagnosis (FDD); traction systems; high-speed trains
Categories
Funding
- National Natural Science Foundation of China [61490703, 61374141, 61573180]
- Funding of Jiangsu Innovation Program for Graduate Education [KYLX16_0378]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
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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.
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