Order Tracking and AR Spectrum Based Bearing Fault Detection Under Run-Up Condition

A new method to fault diagnosis of bearing based on order tracking technique and autoregressive (AR) spectrum is presented. Firstly, the transient vibration signals during run-up condition of gearbox are re-sampled using order tracking technique. Therefore, the time domain transient signals are transformed into angle domain stationary signals. Then the AR model estimation is applied to angle domain signals and the AR order spectrum is obtained. As an example, the vibration signals of a gearbox during run-up condition are analyzed. The experimental results show that this method based on order tracking technique and autoregressive (AR) spectrum can effectively diagnose the bearing fault.