Simulation Study on a Sort of Fault Diagnosis Method of Push-pull Circuits
一种推挽式电路故障诊断方法的仿真研究*

A fault diagnosis method based on wavelet transform and neural networks for push-pull circuits is presented. Firstly, output voltage signals of the push-pull circuits under faulty conditions are obtained with simulation, Then approximation and detail coefficients of output voltage signals are gotten by Daubechies wavelet transform, and are disposed to extract faulty features, After training the networks by faulty feature vectors, the neural networks model of the fault diagnosis system for the push-pull circuits is built. The simulation result shows the fault diagnosis method on wavelet transform and neural networks for the push-pull circuits has good effect.