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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摘要

小波包变换在模拟电路故障特征提取中应用极广,但小波包基函数直接影响故障特征提取的性能。该文给出了小波包频带能量熵的定义,并结合频带能量熵方差,提出一种基于频带能量熵的小波包优选方法。为验证方法的有效性,采用不同的小波包基函数进行实验研究,对待测模拟电路应用小波包变换完成故障特征提取,引入支持向量机验证故障特征的可识别程度。实验结果表明,利用优选小波包基提取的故障特征具有更好的区分度,说明了该算法选取小波包基函数的有效性。

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关键词 ：小波包基函数, 频带能量熵, 模拟电路, 特征提取

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

收稿日期: 2016-06-23 出版日期: 2018-01-16

PACS:

TP391

基金资助:

国家重点研发计划（2016YFF0102200）、中国博士后特别资助项目（2015T80651）、中国博士后面上项目（2014M5517）、合肥工业大学春华计划项目（2014HGCH0012）、国家自然科学基金（61102035,51577046）和国家自然科学基金重点项目（51637004）资助

作者简介: 袁莉芬女,1976年生,教授,硕士生导师,研究方向为测试与故障诊断、智能电网技术和射频识别技术。E-mail：yuanlifen_hfut@163.com（通信作者）孙业胜男,1990年生,硕士,研究方向为模拟电路故障诊断。E-mail：1561915041@qq.com

引用本文:

袁莉芬, 孙业胜, 何怡刚, 张悦, 吕密. 基于小波包优选的模拟电路故障特征提取方法[J]. 电工技术学报, 2018, 33(1): 158-165. Yuan Lifen, Sun Yesheng, He Yigang, Zhang Yue, Lü Mi. Fault Feature Extraction Method for Analog Circuit Based on Preferred Wavelet Packet. Transactions of China Electrotechnical Society, 2018, 33(1): 158-165.

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

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