Wavelet Selection for Bearing Defect Diagnosis


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This paper introduces a quantitative measure based on the energy-to-Shannon entropy ratio for base wavelet selection in vibration signal analysis. The Gaussian-modulated sinusoidal signal and a realistic vibration signal measured from a ball bearing have been used to evaluate the effectiveness of the measure. Experimental results demonstrate that the wavelet selected using the developed measure is effective in diagnosing structural defects in the bearing and the method developed provides systematic guidance in wavelet selection.



Key Engineering Materials (Volumes 413-414)

Edited by:

F. Chu, H. Ouyang, V. Silberschmidt, L. Garibaldi, C.Surace, W.M. Ostachowicz and D. Jiang




R. Q. Yan and R. X. Gao, "Wavelet Selection for Bearing Defect Diagnosis", Key Engineering Materials, Vols. 413-414, pp. 575-582, 2009

Online since:

June 2009




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