Machine tool fault detection based on order cepstrum

Varying speed machinery condition detection and fault diagnosis are more difficult due to non-stationary vibration. In order to process the non-stationary vibration signals such as speed-up or speed-down vibration signals effectively, the order cepstrum analysis technique is presented. This new method combines computed order tracking technique with cepstrum analysis. Firstly, the vibration signal is sampled at constant time increments and then uses numerical techniques to resample the data at constant angle increments. Therefore, the vibration signals are transformed from the time domain transient signal to angle domain stationary one. In the end, the resampled signals are processed by cepstrum analysis method. The experimental results show that order cepstrum analysis can effectively diagnosis the faults of the gear crack.