Methods for fault diagnosis of high-speed railways: A review

High-speed railways have a high demand for safety, but they are complex systems when it comes to fault diagnosis. The failure propagation path is difficult to trace which makes it hard to detect and identify a fault in the traditional way like signal-based methods. In recent years, artificial intell...

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Veröffentlicht in:	Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Part O: Journal of Risk and Reliability, 2019-10, Vol.233 (5), p.908-922
Hauptverfasser:	Zang, Yu, Shangguan, Wei, Cai, Baigen, Wang, Huashen, Pecht, Michael G
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Complex systems Diagnostic systems Fault diagnosis High speed rail Identification methods Magnetic levitation systems Monitoring systems Railway networks Railways
Online-Zugang:	Volltext
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