Fault Diagonosis System for Asynchronous Motor Based on Neural Netork Information Fusion
Xiaoqian Hu · Micromotors.servo Technique · 2008
Aiming at limitation of the traditional method of fault diagnosis for asynchronous motor,based on the research of the characteristics and demands of fault diagnosis for asynchronous motor,this paper puts forward a fault diagnosis method base on neural network information fusion.This method used characteristic information of asynchronous motor such as voltage,current,winding temperature,etc,finishes data preprocessing,feature extraction,and normalization.Then it uses these characteristic parameters as the inputs of the neural network,studies and trains,judges the state of system,and recognizes the fault of system.The simulating experiment results of the system based on the method shows that its fault diagnosis is feasible and effective.