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模擬電路故障診斷的小波方法

譚陽紅,  葉佳卓

譚陽紅, 葉佳卓. 模擬電路故障診斷的小波方法[J]. 電子與信息學(xué)報(bào), 2006, 28(9): 1748-1751.
引用本文: 譚陽紅, 葉佳卓. 模擬電路故障診斷的小波方法[J]. 電子與信息學(xué)報(bào), 2006, 28(9): 1748-1751.
Tan Yang-hong, Ye Jia-zhuo. Wavelet Method for Fault Diagnosis of Analogue Circuits[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1748-1751.
Citation: Tan Yang-hong, Ye Jia-zhuo. Wavelet Method for Fault Diagnosis of Analogue Circuits[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1748-1751.

模擬電路故障診斷的小波方法

Wavelet Method for Fault Diagnosis of Analogue Circuits

  • 摘要: 利用小波變換與神經(jīng)網(wǎng)絡(luò)相結(jié)合的(WNT)方法，將小波作為消噪工具，對(duì)信號(hào)進(jìn)行消噪和小波多尺度分解，提取特征信息。并從函數(shù)型和權(quán)值型小波神經(jīng)網(wǎng)絡(luò)中尋找最優(yōu)故障辨識(shí)器，提出了模擬電路故障診斷的系統(tǒng)方法。本文詳述了其診斷原理及診斷步驟，并給出了診斷實(shí)例。
    Abstract: A systematic method of fault diagnosis for analogue circuits based on the combination of Neural network with Wavelet Transform (WNT) is presented in the paper. Using the wavelet decomposition as a de-noise tool，the feature information is extracted by wavelet de-noise and its multi-resolution. The best fault classifier is obtained by comparing the performance of functional and weighted WNT. Diagnosis principles and steps are described. Finally, the reliability of the methods presented is shown by practical examples.
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  • 楊士元. 模擬系統(tǒng)的故障診斷與可靠性設(shè)計(jì). 北京: 清華大學(xué)出版社，1993: 1-50.[2]Spain R, Upadhyaya S. Linear circuit fault diagnosis using neuromorphic analyzers[J].IEEE Trans. on Circuits and Syst.-II.1997, 44(3):188-196[3]Sorsa T, Koivo H N, Koivisto H. Neural network in process fault diagnosis[J].IEEE Trans. on Syst. Man, Cybernetics.1991, 21(4):815-825[4]Bernieri A, Apuzzo M D, Somsone Z, et al.. A neural network approach for identification and fault diagnosis on dynamic systems[J].IEEE Trans. on Instrum.Meas.1994, 43(6):867-873[5]Srinivasan A, Batur C. Hopfield/ART-1 neural network-based fault detection and fault diagnosis on dynamic systems[J].IEEE Trans. on Neural Networks.1994, 5(6):890-899[6]Aminian M, Aminian F. Neural-network based analog-circuit fault diagnosis using wavelet transform as preprocessor. IEEE Trans. on Circuits. Syst.-II, 2000, 44(3): 151-156.[7]Aminian F, Aminian M, Collins H W. Analog fault diagnosis of actual circuits using neural networks[J].IEEE Trans. on Instrum. Meas.2002, 51(3):544-550[8]Stphane Mallat著, 楊力華, 戴道清, 黃文良等譯. 信號(hào)處理的小波導(dǎo)引. 北京: 機(jī)械工業(yè)出版社，2002: 1-120.[9]Eric A Rying, Griff L Bilbro. Focus local learning with wavelet networks[J].IEEE Trans. on Neural Networks.2002, 13(2):304-319[10]胡昌華等. 基于MATLAB的系統(tǒng)分析與設(shè)計(jì)小波分析. 西安: 西安電子科技大學(xué)出版社，1999.[11]聞新, 周露, 王丹力等. MATLAB神經(jīng)網(wǎng)絡(luò)應(yīng)用設(shè)計(jì). 北京:科學(xué)出版社，2000: 1-270.[12]Tan Yanghong, He Yigang, Wu Jie. Neural network method of fault diagnosis for large-scale analogue circuits. Chinese Journal of Electronics, 2003, 12(1): 57-60.[13]胡壽松. 基于小波神經(jīng)網(wǎng)絡(luò)的組合故障模式識(shí)別. 自動(dòng)化學(xué)報(bào), 2002, 28(4): 540-543.
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出版歷程
  • 收稿日期:  2005-01-10
  • 修回日期:  2005-08-03
  • 刊出日期:  2006-09-19

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