Fault diagnose of the rolling bearings vibration signals based on Kalman filter method

Kalman filter method is used to analyze the rolling bearings vibration signals under different fault states. Kalman filter based detection method is effective for the rolling bearings. The description of state space equations of the rolling bearings is firstly given based on Autoregressive(AR) model of its responses. Then a practical strategy of detection method is proposed for vibration signals of the rolling bearings based on the Kalman filter. Fault diagnose of the rolling bearings are confirmed by Kalman filter.