Research on Mechanical Bearing Fault Diagnosis Method Based on Fuzzy Neural Network
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.
fault diagnosismechanical bearingsfuzzy neural networkEMD-AR spectrumexpert system
万方数据
维普
