Fault diagnosis system for asynchronous electromotor based on artificial neural network

Artificial neural network was applied to detect the fault of asynchronous electromotor in order to improve the accuracy of asynchronous electromotor fault diagnosis.One fault diagnosis method for electromotor based on BP neural network was proposed,and the network structure was designed for this diagnosis system.The simulation result indicates that the net structure has mush faster learning speed and more superior learning precision compared with other algorithm.It is entirely practical for the fault diagnosis system of the electromotor.