journal6 ›› 2003, Vol. 24 ›› Issue (4): 7-11.

• Physics and electronics • Previous Articles     Next Articles

Research on Method of Nonlinear Analog-Circuit Fault Diagnosis Based on HAAR Wavelet And BPNN


  1. (College of Electrical and Information Engineering,Hunan University,Changsha 410082,Hunan China)
  • Online:2003-12-15 Published:2012-11-06
  • About author:XIE Hong(1964-),male,was born in Changsha,Hunan,lecturer of Hunan University,PHD,research area is intelligent technology of automatic control,neuval network and fault diagnosis.
  • Supported by:

    Supported by National Natural Science Foundation of China(50277010)

Abstract: In this paper,a fault diagnosis method based on Haar wavelet and BP neural network for nonlinear analog circuit has been presented.The proposed method by using wavelet decomposition as a preprocessor of nonlinear analog circuit fault signal can drastically reduces the number of inputs and training and processing time of the neural network.After briefly introducing an improved BPNN which adpots momentum factor for preventing local convergency used for nonlinear analog-circuit fault diagnosis,the basic principle based on Haar wavelet decomposition that can extracts the fault feature from fault signal is discussed.

Key words: HAAR wavelet transform, neural network, nonlinear analog-circuit, fault diagnosis, preprocessor

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