Power Electronic Circuit Fault Diagnosis System Based on Optimal Neural Network

Abstract

The fault diagnosis of power electronic circuit usually adopts the artificial neural network method, but with the deepening of application and the diversifi cation of faults, this diagnosis method gradually presents a series of drawbacks, there is a problem of low detection accuracy, which needs to be further optimized and improved. This paper proposes a power electronic circuit fault diagnosis system based on optimal neural network, which integrates quantum mechanics into the neural network, improves the parallel processing capability of the system, and greatly improves the overall performance of the system.