Aiming at the requirement of intelligent fault diagnosis of mechanical bearing,a fault diagnosis method based on fuzzy logic and neural network is proposed in this paper.The feature of mechanical fault vibration signal was extracted by using EMD-AR spectrum,and the extracted feature vector is used as training sample library and test sample library.Fuzzy neural network is used to realize fault diagnosis.Finally,the expert system of mechanical bearing fault diagnosis is designed,and the bearing fault diagnosis example is used to verify that the intelligent diagnosis technology could meet the requirements of mechanical fault diagnosis.
关键词
故障诊断/机械轴承/模糊神经网络/EMD-AR谱/专家系统
Key words
fault diagnosis/mechanical bearings/fuzzy neural network/EMD-AR spectrum/expert system
维普
万方数据