Abstract
This paper presents a new scheme for bearing-localized defect detection based on wavelet transform. Wavelet transform provides a variable resolution time-frequency distribution from which periodic structural ringing due to repetitive force impulses, generated upon the passing of each rolling element over the defect, are detected. In this paper, important properties of wavelet transform and its comparison with short-time Fourier transform are discussed. Then, a basic wavelet considered optimal for bearing-localized defect detection is constructed. Finally, the new scheme is described and its effectiveness is evaluated using actual vibration signals measured from bearings with defects at different locations and operating under different conditions.
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