Circuit Fault Diagnosis Based on Wavelet Packet and Neural Network

Inhalt:
In this paper, neural network algorithms of fault diagnosis for analog circuit containing MOS transistors are presented. Measurement of dynamic supply current is utilized for detecting the catastrophic faults. A discrete wavelet transform is used as preprocessor in order to reduce the nodes in input layer and hidden layer of BP neural network. The illustrative numerical examples are presented.