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Traction Inverter Open Switch Fault Diagnosis Based on Choi–Williams Distribution Spectral Kurtosis and Wavelet-Packet Energy Shannon Entropy

机译:基于Chilli-Williams分布谱峰度和小波包能量香农熵的牵引逆变器开路开关故障诊断

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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.
机译:本文提出了一种用于多单元闭环逆变器矢量控制驱动器中故障检测和开路故障定位的新方法。基于Choi–Williams分布(CWD)的光谱峰度(SK)作为统计工具可以有效地指示频域中存在瞬变和位置。小波包能量香农熵(WPESE)适用于复杂非线性和非平稳信号的瞬态变化检测。在分析正常和故障条件下的电流的基础上,将基于CWD和WPESE的SK与直流分量法相结合。基于CWD和WPESE的SK用于故障检测,而DC分量法用于故障定位。这种方法可以高精度地诊断出故障的绝缘栅双极晶体管(IGBT)的特定位置,并且不需要其他设备。在RT-LAB平台上进行了实验,实验结果验证了该诊断方法的可行性和有效性。

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