Fault diagnosis of power electronic based on multi-resolution analysis and support vector machine

Jianjun Zhao, Xiao-guang Gu, Heng Yu, W. Yan
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Abstract

The wavelet multi-resolution analysis (MRA) and support vector machine (SVM) are used in the fault diagnosis of power electronic. First, the paper use the wavelet MRA to deal with the characteristics of power electronic fault signal, and then identifies the fault diagnosis by the multi-class fault classifier based on SVM. The simulation results show the correctness and effectiveness of the method.
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基于多分辨率分析和支持向量机的电力电子故障诊断
将小波多分辨率分析(MRA)和支持向量机(SVM)应用于电力电子故障诊断。本文首先利用小波核磁共振分析对电力电子故障信号特征进行处理,然后利用基于支持向量机的多类故障分类器进行故障诊断识别。仿真结果表明了该方法的正确性和有效性。
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