Fault Feature Extraction Method for Analog Circuit Based on Preferred Wavelet Packet

被引：0
|
作者：
Yuan L. [1 ]
Sun Y. [1 ]
He Y. [1 ]
Zhang Y. [1 ]
Lü M. [2 ]
机构：
[1] Institute of Electrical and Automation, Hefei University of Technology, Hefei
[2] College of Electrical & Computer, Texas A&M University, College Station, 77843, TX
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2018年 / 33卷 / 01期
关键词：
Analog circuit; Feature extraction; Frequency band energy entropy; Wavelet packet basis;
D O I：
10.19595/j.cnki.1000-6753.tces.160966
中图分类号：
学科分类号：
摘要：
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. © 2018, Electrical Technology Press Co. Ltd. All right reserved.
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页码：158 / 165
页数：7
相关论文
共 19 条
  • [1] Yang S., Hu M., Wang H., Study on soft fault diagnosis analog circuits, Microellectronics & Computer, 25, 1, pp. 1-8, (2008)
  • [2] Han H., Ma H., Cao J., Et al., Fault diagnosis method of analog circuits based on characteristics of the nonlinear frequency spectrum and KPCA, Transactions of China Electrotechnical Society, 27, 8, pp. 248-254, (2012)
  • [3] Deng Y., Yu C., Application of factor analysis and ELM in analog circuit fault diagnosis, Journal of Electronic Measurement and Instrument, 30, 10, pp. 1512-1519, (2016)
  • [4] Xiao Y., He Y., A fault diagnosis approach for analog circuits based on wavelet fractal analysis and ridgeletnetwork, Transactions of China Electrotechnical Society, 26, 11, pp. 105-114, (2011)
  • [5] Song G., Wang H., Liu H., Et al., Analog circuit fault diagnosis using lifting wavelet transform and SVM, Journal of Electronic Measurement and Instrument, 24, 1, pp. 17-22, (2010)
  • [6] Sun J., Wang C., Du Q., Analog circuit fault diagnosis based on wavelet packet energy spectrum and NPE, Chinese Journal of Scientific Instrument, 34, 9, pp. 2021-2027, (2013)
  • [7] Li B., Xia H., Feature recognition of cracked rotor of RCP based on optimal wavelet basis, Journal of Vibration and Shock, 33, 21, pp. 207-212, (2014)
  • [8] Zhao X., Ye B., Chen T., The adaptive selection of wavelet base without analytic equation, Journal of Vibration Engineering, 17, 2, pp. 243-248, (2004)
  • [9] Peng L., Yu W., Fault diagnosis of analog circuit based on wavelet analysis and clonal selection algorithm, Transactions of China Electrotechnical Society, 22, 6, pp. 12-16, (2007)
  • [10] He X., Wang H., Lu J., Et al., Analog circuit fault diagnosis method based on preferred wavelet packet and ELM, Chinese Journal of Scientific Instrument, 34, 11, pp. 2614-2619, (2013)
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