High-speed train fault detection with unsupervised causality-based feature extraction methods

Author:

Xu Yubo,Liu Jie

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference48 articles.

1. X. hui He, H. Li, Review of aerodynamics of high-speed train-bridge system in crosswinds, J. Cent. South Univ. (2020). https://doi.org/10.1007/s11771-020-4351-9.

2. Methods for fault diagnosis of high-speed railways: A review;Zang;Proc. Inst. Mech. Eng. Part O J. Risk Reliab.,2019

3. A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains;Chen;IEEE Trans. Intell. Transp. Syst.,2020

4. Deep PCA based real-time incipient fault detection and diagnosis methodology for electrical drive in high-speed trains;Chen;IEEE Trans. Veh. Technol.,2018

5. A SVM framework for fault detection of the braking system in a high speed train;Liu;Mech. Syst. Signal Process.,2017

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