Abstract

In this paper, a new approach for fault detection and location of open switch faults in the closed-loop inverter fed vector controlled drives of Electric Multiple Units is proposed. Spectral kurtosis (SK) based on Choi–Williams distribution (CWD) as a statistical tool can effectively indicate the presence of transients and locations in the frequency domain. Wavelet-packet energy Shannon entropy (WPESE) is appropriate for the transient changes detection of complex non-linear and non-stationary signals. Based on the analyses of currents in normal and fault conditions, SK based on CWD and WPESE are combined with the DC component method. SK based on CWD and WPESE are used for the fault detection, and the DC component method is used for the fault localization. This approach can diagnose the specific locations of faulty Insulated Gate Bipolar Transistors (IGBTs) with high accuracy, and it requires no additional devices. Experiments on the RT-LAB platform are carried out and the experimental results verify the feasibility and effectiveness of the diagnosis method.

Highlights

  • In recent years, the rapid development of high-speed railways has drawn attention to the security and stability requirements of operation

  • In [22], Spectral kurtosis (SK) based on short time Fourier transform (STFT), wavelet transform (WT), Wigner–Ville distribution (WVD) and Choi–Williams distribution (CWD) were discussed and different parameters about SK based on CWD were analyzed

  • For the fault detection part, SK based on CWD is utilized to detect the faults and combined with wavelet-packet energy Shannon entropy (WPESE) method to determine the fault phase

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Summary

Introduction

The rapid development of high-speed railways has drawn attention to the security and stability requirements of operation. In [12], a new way for Insulated Gate Bipolar Transistor (IGBT) open switch faults diagnosis in pulse-width modulation voltage-source inverters was presented It was based on the distortions of the current distribution in the d−q frame combined with normalized average current values. Based on the above discussion, wavelet, Concordia and Park transform methods would not be the good ways to deal with open switch faults of IGBTs in traction inverters. Considering the good performance of SK and entropy in diagnosis of faults, a new approach for vector controlled induction motor drives is presented in this paper This method consists of two parts: the fault detection and fault location. Experiments on the RT-LAB platform are carried out, and the results verify the effectiveness of the proposed approach

Spectral Kurtosis Based on Choi–Williams Distribution
Wavelet-Packet Energy Shannon Entropy
Analyses of Faults and Diagnosis Plan
Feature Extraction
It is found that in fault-free the average
Diagnosis Flow
Accuracy Analyses of Methods
Accuracy of Methods
The operating frequency of the inverter of is 500
Fault-Free Case
Fault A Case
Fault B Case
Fault C Case
Fault D Case
Conclusions
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