Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains : A Survey, Challenges, and Perspectives
In: IEEE Transactions on Intelligent Transportation Systems (T-ITS), Vol. 23 (2022), No. 3, pp. 1700 - 1716
2022article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title in English:
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains : A Survey, Challenges, and Perspectives
Author:
Chen, Hongtian
- ORCID
-
0000-0002-8600-9668
- Other
- corresponding author
- ORCID
-
0000-0003-3458-9303
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
Year of publication:
2022
Open Access?:
Closed access
IEEE ID
Web of Science ID
Scopus ID
Language of text:
English
Keyword, Topic:
Data-driven ; fault detection and diagnosis (FDD) ; high-speed trains ; traction systems
Type of resource:
Text