Wavelet analysis and envelope detection for rolling element bearing fault diagnosis—their effectiveness and flexibilities

Journal of Vibration and Acoustics, Transactions of the ASME

Volumn 123, Issue 3, 2001, Pages 303-310

  Tse, Peter W ^a   Peng, Y H ^a   Yam, Richard ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0012020346     PISSN: 10489002     EISSN: 15288927     Source Type: Journal    
DOI: 10.1115/1.1379745     Document Type: Article

References (27)

1. Tse, P., 1998, “Neural Networks Based Robust Machine Fault Diagnostic & Life Span Predicting System,” Ph. D. Thesis, The University of Sussex, United Kingdom.
2. Mitchell, J. C., 1993, Introduction to Machinery Analysis and Monitoring, PennWell, Tulsa, Okla.
3. Li, C. J., and Wu, S. M., 1989, “On-line Detection of Localized Defects in Bearings by Pattern Recognition Analysis,” ASME J. Eng. Ind., 111, pp. 331-336.
4. Sandy, J., 1988, “Monitoring and Diagnostics for Rolling Element Bearings,” Sound Vib., 22, No. 6, pp. 16-20.
5. Brown, D. N., 1989, “Envelop Analysis Detects Bearing Faults Before Major Damage Occurs,” Pulp Pap., 63, pp. 113-117.
6. Courrech, J., 2000, “Envelop Analysis for Effective Rolling-Element Fault Detection-Facts or Fiction?” Up Time Magazine, 8, No. 1, pp. 14-17.
7. McFadden, P. D., and Smith, J. D., 1984, “Vibration Monitoring of Rolling Element Bearings by the High Frequency Resonance Technique: A Review,” Tribol. Int., 17, pp. 3-10.
8. Gade, S., and Herlufsen, H., 1994, “Digital Filter techniques vs. FFT Techniques for Damping Measurements,” Bruel & Kjaer Technical Review, No. 1.
9. Ville, J., 1984, “Theory et Application de la Notion de Signal Analytique,” Cables et Transmissions, 20A.
10. Gade, S., and Gram-Hansen, K., 1996, “Non-stationary Signal Analysis Using Wavelet Transform, Short-time Fourier Transform and Wigner-Ville Distribution,” Bruel & Kjaer Technical Review, No. 2.
11. Dowling, H. M., 1993, “Application of Non-stationary Analysis to Machinery Monitoring,” Proceedings of IEEE Int Conf. On Acoustics, Speech and Signal Processing, pp. 59-62.
12. Newland, D. E., 1994, “WaveletAnalysis of Vibration, Part 1: Theory, Part2: Wavelet Maps,” ASME J. Vibr. Acoust., 116, pp. 409-425.
13. Newland, D. E., 1999, “Ridge and Phase Identification in the Frequency Analysis of Transient Signals by Harmonic Wavelets,” ASME J. Vibr. Acoust., 121, pp. 149-155.
14. Debabrata, P., 1994, “Detection of Change in Process Using Wavelets,” Proc. of the IEEE-SP Int. Symposium on Time-Frequency and Time-Scale Analysis, pp. 174-177.
15. Mori, K., Kasashima, N., Yoshika, T., and Ueno, Y., 1996, “Prediction of Spalling on Ball Bearing by Applying the Discrete Wavelet Transform to Vibration Signals,” Wear, 195, pp. 162-168.
16. Li, C. J., and Ma, J., 1997, “Wavelet Decomposition of Vibrations for Detection of Bearing-Localized Defects,” NDT & E Int., 30, pp. 143-149.
17. Wang, W. J., and McFadded, P. D., 1996, “Application of Wavelets to Gearbox Vibration Signals for Fault Detection,” J. Sound Vib., 192, No. 5, pp. 927-939.
18. Ratcliffe, G. A., 1990, “Condition Monitoring of Rolling Element Bearings Using the Enveloping Technique,” Machine Condition Monitoring, Mechanical Engineering Publications Ltd., London, pp. 55-67.
19. Tse, P., and Atherton, D., 1999, “Prediction of Machine Deterioration Using Vibration Based Fault Trends and Recurrent Neural Networks,” ASME J. Vibr. Acoust., 121, No. 3, pp. 355-362.
20. Bruel & Kjaer, Peak and Envelop Analysis for Bearing Fault Detection, Application Note: BO 0286-11, Bruel & Kjaer Ltd., Denmark.
21. Bruel & Kjaer, Envelop Detector, Bruel and Kjaer System Development, WB1048.
22. Dimaragonas, A., 1992, Vibration for Engineers, Prentice-Hall, Inc., New Jersey, pp. 33-34.
23. Chui, ChK., 1992, An Introduction to Wavelets, Vol. 1, Academic Press, Boston.
24. Tse, P., and He, L. S., 2001, “Can Wavelet Transforms Used for Data Compression Equally Suitable for the Use of Machine Fault Diagnosis,” The 18th Biennial Conference on Mechanical Vibration and Noise, Pittsburgh, USA.
25. Huang, N. E., et al., 1998, “The Empirical Mode Decomposition and the Hibert Spectrum for Nonlinear and Non-stationary Time Series Analysis,” Proc. R. Soc. London, Ser. A, 454, pp. 903-995.
26. Lai, H. W., and Tse, P., 1995, Detection of Bearing Faults in Rotating Motor Using Vibration Analysis, Technical Report of MEEM Department, City University of Hong Kong, Hong Kong.
27. Tse, P., Xu, G., Qu, L., and Kumara, S., 2000, “An Effective and Portable Electronic Ear for Fault Diagnosis Using Machine Operating Sound Directly,” International Journal of Acoustics and Vibration, an affiliated Journal of the Institute of Acoustics and Vibration (JIAV), 6, No. 1, pp. 23-31.