Fault Diagnosis of Asynchronous Induction Motor Based on BP Neural Network

For asynchronous induction motor, it is necessary to carry out fault diagnosis in time. The traditional fault diagnosis methods have the shortcomings such as the diagnosis slow speed, low accuracy. In this paper, for the common fault characteristics of asynchronous induction motor, the fault diagnosis method based on improved BP algorithm, by using of the diagnosis model, is adopted to diagnose the faults of asynchronous induction motor. The simulated experimental results show that the diagnosis method, a quicker diagnosis and a higher accuracy, is feasible. It can enhance the fault recognition rate and provide an effective amelioration method for keeping equipment reliable and efficient displaying functions.