Focus on the present situation of the inaccurate diagnosis of the fault diagnosis system of circuit breaker

a new method of quantum genetic neural network and D-S evidence theory is proposed

using wavelet transform andspectrum analysis technology

getting the coil current wave and mechanical vibration wave of low frequency and highfrequency signal

extracting two types of band energy value as the input of the two independent quantum geneticradial basis function（RBF）neural network

and two preliminary diagnosis results are obtained

finally using D-Sevidence theory to integrate evaluation results of two neural network. The experimental results show that the RBFneural network with improved quantum genetic algorithm has a fast convergence speed and accurate result

and alsothe final result of D-S evidence fusing is more accurate

moreover

the diagnosis results are improved.