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Entropy 2016, 18(3), 78; doi:10.3390/e18030078

Wavelet Entropy-Based Traction Inverter Open Switch Fault Diagnosis in High-Speed Railways

1
Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China
2
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
*
Author to whom correspondence should be addressed.
Academic Editor: Carlo Cattani
Received: 18 December 2015 / Revised: 28 January 2016 / Accepted: 17 February 2016 / Published: 1 March 2016
(This article belongs to the Special Issue Wavelets, Fractals and Information Theory)

Abstract

In this paper, a diagnosis plan is proposed to settle the detection and isolation problem of open switch faults in high-speed railway traction system traction inverters. Five entropy forms are discussed and compared with the traditional fault detection methods, namely, discrete wavelet transform and discrete wavelet packet transform. The traditional fault detection methods cannot efficiently detect the open switch faults in traction inverters because of the low resolution or the sudden change of the current. The performances of Wavelet Packet Energy Shannon Entropy (WPESE), Wavelet Packet Energy Tsallis Entropy (WPETE) with different non-extensive parameters, Wavelet Packet Energy Shannon Entropy with a specific sub-band (WPESE3,6), Empirical Mode Decomposition Shannon Entropy (EMDESE), and Empirical Mode Decomposition Tsallis Entropy (EMDETE) with non-extensive parameters in detecting the open switch fault are evaluated by the evaluation parameter. Comparison experiments are carried out to select the best entropy form for the traction inverter open switch fault detection. In addition, the DC component is adopted to isolate the failure Isolated Gate Bipolar Transistor (IGBT). The simulation experiments show that the proposed plan can diagnose single and simultaneous open switch faults correctly and timely. View Full-Text
Keywords: open switch fault; wavelet transform; wavelet packet transform; Shannon entropy; Tsallis entropy; traction inverter; high-speed railway open switch fault; wavelet transform; wavelet packet transform; Shannon entropy; Tsallis entropy; traction inverter; high-speed railway
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hu, K.; Liu, Z.; Lin, S. Wavelet Entropy-Based Traction Inverter Open Switch Fault Diagnosis in High-Speed Railways. Entropy 2016, 18, 78.

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