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《Transactions of China Electrotechnical Society》 2005-08
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Wavelet Method of Analogue Circuits Fault Diagnosis

Tan Yanghong He Yigang (Hunan University Changsha 410082 China)  
This paper presents a systematic method of fault diagnosis for analogue circuits based on the combination of BP neural network(BPNN)with wavelet transformation. Using the wavelet decomposition as a de-noise tool,the feature information is extracted by wavelet de-noising, multi-resolution, orthogonalation and normalization. And the input pattern are satisfied when the feature information applied to the BPNNS. Diagnosis principles and steps are described. Finally, the reliability of the method is shown by practical examples.
【CateGory Index】: TN710
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