基于小波包优选的模拟电路故障特征提取方法

doi:10.19595/j.cnki.1000-6753.tces.160966

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Abstract

Wavelet packet transform is widely used in analog circuit fault feature extraction, and the wavelet packet basis affects the performance of the fault feature extraction directly. The paper defined frequency band energy entropy of the wavelet packet, and a wavelet packet selection method was presented based on the frequency band energy entropy and its variance.In order to verify the feasibility of the method,different mother wavelet functionwere used to extract the fault features of the circuit under test,and support vector machinewas presented to verify the features’ identifiability. Simulation results showed that the extracted fault features with the selected optimal wavelet had higher discrimination compared with the fault features extractedwith other wavelets, which indicated that the method is feasible.

Key words： Wavelet packet basis frequency band energy entropy analog circuit feature extraction

Received: 23 June 2016 Published: 16 January 2018

PACS:

TP391

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.160966 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I1/158

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