关键词: 异步电动机, Simulink, 故障仿真, 故障诊断, 神经网络

Abstract: Aiming at problems of traditional fault diagnosis methods forasynchronous motors, a fault simulation model of asynchronous motor was set up based on Simulink platform, and fault diagnosis research was carried out based on artificial neural network and this simulation model.Select the simulation module on the Simulink platform, set up six types of ground short circuit faults (A phase short circuit, B phase short circuit, C phase short circuit, AB two-phase short circuit,AC two-phase short circuit, BC two-phase short circuit), set parameters, and carry out the simulation.The BP neural network diagnosis model of asynchronous motor was established. The faultcharacteristic quantity of asynchronous motor was extracted. After preprocessing, it was fed into the BP neural network model for training and simulation test. The simulation results show that the proposed method is effective and feasible for fault diagnosis of asynchronous motor.

Key words: asynchronous motor, Simulink, fault simulation, fault diagnosis, neural network