Bearing defects diagnosis based on Gaussian filtering shock detection and power spectrum of envelope

This paper proposes a new method of diagnosis the bearing defects using some signal processing tools such as the Gaussian filtering, the envelope detection and the Fourier transform. The Gaussian filtering is used to detect the shock pulses generated by bearing defects. After this phase the shock pulses are allowed to pass the filtering based on the windowing of the obtained Gaussian peaks. The results obtained using the proposed diagnosis method are compared with the results obtained using some other known defect bearing diagnosis methods. The proposed method will prove better capability of defect frequencies enhancement.