Research of Intelligent Prediction System of Fault Signs of Asynchronous Motor Based on Information Fusio

The fault mechanism of asynchronous motor is complex,single information can only reflect some fault aspects of asynchronous motor system,the conclusion coming from single information has uncertainty.Especially when asynchronous motor is in early deterioration signs,appearance of each aspect is weaker,so it needs effective fusion for multi-information completely.In order to solve above problem,the paper proposed a design scheme of intelligent prediction system of fault signs of asynchronous motor based on information fusion,analyzed principle of D-S evidence theory,and gave fault diagnosis results of asynchronous motor based on single information and multi-information fusion.The actual application showed that the system has certain effectiveness.