A Combined Spectral Subtraction and Wavelet De-Noising Method for Bearing Fault Diagnosis
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[1] I. S. Bozchalooi,et al. A smoothness index-guided approach to wavelet parameter selection in signal de-noising and fault detection , 2007 .
[2] Ajit S. Bopardikar,et al. Wavelet transforms - introduction to theory and applications , 1998 .
[3] Ioannis Antoniadis,et al. Demodulation of Vibration Signals Generated by Defects in Rolling Element Bearings Using Complex Shifted Morlet Wavelets , 2002 .
[4] Steven Kay,et al. The effects of noise on the autoregressive spectral estimator , 1979 .
[5] J. Dron,et al. Improvement of the sensitivity of the scalar indicators (crest factor, kurtosis) using a de-noising method by spectral subtraction: application to the detection of defects in ball bearings , 2004 .
[6] M. Abramowitz,et al. Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55) , 1965 .
[7] S. Mallat. A wavelet tour of signal processing , 1998 .
[8] Jing Lin,et al. Feature Extraction Based on Morlet Wavelet and its Application for Mechanical Fault Diagnosis , 2000 .
[9] Ming J. Zuo,et al. GEARBOX FAULT DIAGNOSIS USING ADAPTIVE WAVELET FILTER , 2003 .
[10] P. D. McFadden,et al. Vibration monitoring of rolling element bearings by the high-frequency resonance technique — a review , 1984 .
[11] Hai Qiu,et al. Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics , 2006 .
[12] A.V. Oppenheim,et al. Enhancement and bandwidth compression of noisy speech , 1979, Proceedings of the IEEE.
[13] Jay Lee,et al. Robust performance degradation assessment methods for enhanced rolling element bearing prognostics , 2003, Adv. Eng. Informatics.
[14] P. D. McFadden,et al. Model for the vibration produced by a single point defect in a rolling element bearing , 1984 .