基于小波多分辨率分析和主元分析的电力电子电路故障诊断
Fault Diagnosis of Power Electronic Circuits Based on Wavelet Multi-resolution Analysis and PCA
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摘要: 将小波多分辨率分析和主元分析方法以及归纳学习理论-决策树分类方法应用于电力电子电路的故障诊断中,提高了诊断效率及分类准确性,仿真结果验证了提出方法的正确性和有效性。Abstract: Wavelet multi-resolution analysis method,principal component analysis method and induction-based learning theory-decision tree method,are applied to diagnose faults of power electronic circuits.Diagnostic efficiency and classification rate are both improved.Satisfied simulation results are obtained.