WNN Tolerance Fault Diagnosis for Analog Circuits Based on Wavelet Packet Transform Features
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DOI: 10.23977/icamcs.2018.048
Author(s)
Haiqing Huang, Shiyao Ren, Nan Yang
Corresponding Author
Haiqing Huang
ABSTRACT
For the sample construction of Wavelet Neural Network (WNN) fault diagnosis modeling for analog circuits, a feature extraction method based on Wavelet Packet Transform (WPT) is proposed. The simulation results on Sallen-Key band-pass filter show that, compared with Multi-Resolution Transform, WPT has better feature extraction ability for the tolerance faults of analog circuits, and can improve the convergence rate and diagnosis correct rate of WNN.
KEYWORDS
WNN, wavelet packet transform, analog circuit, fault diagnosis, feature extraction
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