Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030462628
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Supplemental Notes:
- © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.
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Corporate Authors:
Springer International Publishing
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Authors:
- Chen, Hongtian
- Jiang, Bin
- Lu, Ningyun
- Chen, Wen
- Publication Date: 2020-4
Language
- English
Media Info
- Media Type: Web
- Features: Illustrations;
- Pagination: 160p
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Serial:
- Lecture Notes in Intelligent Transportation and Infrastructure
- Publisher: Springer Cham
- ISSN: 2523-3440
- Serial URL: https://www.springer.com/series/15991
Subject/Index Terms
- TRT Terms: Data analysis; Detection and identification; Diagnosis; Fault monitoring; High speed rail; Traction
- Identifier Terms: Principal Component Analysis
- Subject Areas: Data and Information Technology; Railroads;
Filing Info
- Accession Number: 01852471
- Record Type: Publication
- ISBN: 9783030462628
- Files: TRIS
- Created Date: Jul 21 2022 11:42AM