Mechanical fault detection based on the wavelet de-noising technique

Journal of Vibration and Acoustics

Volumn 126, Issue 1, 2004, Pages 9-16

  Lin, Jing ^a   Zuo, Ming J ^b   Fyfe, Ken R ^b  

^a INSTITUTE OF ACOUSTICS   (China)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; CONDITION MONITORING; GEARS; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; ROLLER BEARINGS; SIGNAL TO NOISE RATIO; WAVELET TRANSFORMS;

MECHANICAL FAULT DETECTION; MECHANICAL VIBRATION SIGNALS; MORLET WAVELET; WAVELET DENOISING;

MACHINE VIBRATIONS;

EID: 3943106191     PISSN: 10489002     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.1596552     Document Type: Article

References (22)

1. Harting, D. R., 1977, "Demodulated Resonance Analysis - A Powerful Incipient Failure Detection Technique," ISA Trans., 17, pp. 35-40.
2. Mcfadden, P. D., and Smith, J. D., 1984, "The Vibration Monitoring of Rolling Element Bearings by High-frequency Resonance Technique - A Review," Tribol. Int., 17, pp. 3-10.
3. Mallat, S., and Hwuang, W., 1992, "Singularity Detection and Processing With Wavelets," IEEE Trans. Inf. Theory, 32(2), pp. 617-643.
4. Donoho, D. L., 1995, "De-noising by Soft-Thresholding," IEEE Trans. Inf. Theory, 41(31), pp. 613-627.
5. Donoho, D. L., and Johnstone, I. M., 1994, "Ideal Spatial Adaptation by Wavelet Shrinkage," Biometrika, 81(31), pp. 425-455.
6. Gao, H. Y., and Bruce, A. G., 1996. "WaveShrink With Firm Shrinkage," Technical Report 39, StatSci Division of Mathsoft Inc.
7. Bruce, A. G., Donoho, D. L. et al., 1994, "Smoothing and Robust Wavelet Analysis," COMPSTAT, Proceedings in Computational Statistics, 11th Symposium, pp. 531-547.
8. Johnstone, I. M., and Silverman, B. W., 1997, "Wavelet Threshold Estimators for Data With Correlated Noise," Journal of Royal Statistical Society Series B, 59(2), pp. 319-351.
9. Chipman, H. A., Kolaczyk, E. D., and Mcculloch, R. E., 1997, "Adaptive Bayesian Wavelet Shrinkage," J. Am. Stat. Assoc., 92(440), pp. 1413-1421.
10. Pan, Q., Zhang, L., Dai, G., and Zhang, H., 1999, "Two Denoising Methods by Wavelet Transform," IEEE Trans. Signal Process., 47(12), pp. 3401-3406.
11. Sardy, S., Tseng, P., et al., 2001, "Robust Wavelet Denoising," IEEE Trans. Signal Process., 49(6), pp. 1146-1152.
12. Lin, J., and Qu, L., 2000, "Feature Extraction Based on Morlet Wavelet and Its Application for Mechanical Fault Diagnosis," J. Sound Vib., 234(1), pp. 135-148.
13. Fan, J. Q., Hall, P., Martin, M. A., and Patil, P., 1996, "On Local Smoothing of Nonparametric Curve Estimators," J. Am. Stat. Assoc., 91, pp. 258-266.
14. Nason, G. P., 1995, "Choice of the Threshold Parameter in Wavelet Function Estimation," Antoniadis, A., and Oppenheim, G., eds., Wavelets and Statistics, Vol. 103 of Lecture Notes in Statistics, pp. 261-280, Springer-Verlag, New York.
15. Donoho, D. L., and Johnstone, I. M., 1995, "Adapting to Unknown Smoothness via Wavelet Shrinkage," J. Am. Stat. Assoc., 90, pp. 1200-1224.
16. Neumann, M. H., and von Sachs, R., 1995, "Wavelet Thresholding: Beyond the Gaussian i.i.d. Situation," Wavelets and Statistics, Vol. 103 of Lecture Notes in Statistics, pp. 281-300, Springer-Verlag.
17. Berkner, K., and Wells, R. O., Jr., 1998, "A Correlation-dependent Model for De-noising via Nonorhogonal Wavelet Transforms," Technical Report CML TR98-07, Computational Mathematics Laboratory, Rice University, US.
18. Hyvarinen, A., 1999, "Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation," Neural Comput., 11(7), pp. 1739-1768.
19. The Mathworks Inc., Wavelet Toolbox User's Guide-for Use with Matlab, 1999.
20. Daubechies, I., 1988, "Orthogonal Bases of Compactly Support Wavelets," Communications of Pure and Applied Mathematics, 41(7), pp. 909-996.
21. Vidakovic, B., 1999, Statistical Modeling by Wavelets, Wiley-Interscience Publication.
22. McFadden, P. D., and Toozhy, M. M., 2000, "Application of Synchronous Averaging to Vibration Monitoring of Rolling Element Bearings," Mech. Mach. Theory, 14(6), pp. 891-906.