Bearing fault detection using level-dependent noise reduction technique

In this paper, the level-dependent noise reduction technique based on Morlet wavelet is proposed for bearing inner-race and outer-race fault. This is performed by estimating the periods of the impulsive vibration signals generated by healthy and faulty bearings. The superiority of the applied technique is shown in comparison to the conventional FFT for a set of real data using computer simulations. The results clearly present the effectiveness of the proposed technique in bearing fault detection.