Artificial Neural Network Classifier Design Using Genetic Algorithm and Wavelet Transform in Fault Diagnosis

A diagnosis method basing on neural network classifier, genetic algorithm (GA) and wavelet transform is proposed for a pulse width modulation voltage source inverter. It is used to detect and identify the transistor open-circuit fault. BP neural network (BPNN) is capable of recognition. However, it has shortcomings obviously. These are just advantages of GA, which has ability of global search. Thus GA is integrated into BPNN for obtaining complementary advantages. Besides, Wavelet transform is employed as a fast and effective means analyzing the transient waveforms, as an alternative to the traditional Fourier transform. The Hybrid algorithm can offer higher detection efficiency and reliability.