A hybrid diagnosis method based on vibration signals for rolling bearing fault

The vibration signals of faulty rolling bearings are dynamic and nonlinear,this makes fault identification become very difficult. In consideration of the classification ability of SVM and the distinguish ability of HMM to the dynamic time series,based on the characteristic vectors that are built up by extracting the AR model parameters from the envelope demodulation signal,it proposes a new method of rolling bearing fault diagnosis. Experiments show the effectiveness of the method.