Wavelet decomposition for the detection and diagnosis of faults in rolling element bearings

Jordan Journal of Mechanical and Industrial Engineering

Volumn 3, Issue 4, 2009, Pages 260-267

  Chebil, J ^a   Noel, G ^b   Mesbah, M ^c   Deriche, M ^d  

^a INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA   (Malaysia)

^b TELECOM PARISTECH   (France)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Ball Bearing Fault Detection; Discrete Wavelet Packet Transform; Discrete Wavelets Transform

Indexed keywords

BALL BEARINGS; BEARINGS (MACHINE PARTS); CONDITION MONITORING; DISCRETE WAVELET TRANSFORMS; MACHINERY; ROLLER BEARINGS; VIBRATION ANALYSIS; VIBRATIONS (MECHANICAL); WAVELET ANALYSIS; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

BEARING FAULT DETECTION; DETECTION AND DIAGNOSIS; DISCRETE WAVELET PACKET TRANSFORMS; DISCRETE WAVELETS TRANSFORMS; MAINTENANCE COST; ROLLING ELEMENT BEARING; VIBRATION SIGNAL; WAVELET BASED ANALYSIS;

FAULT DETECTION;

EID: 85013842662     PISSN: 19956665     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. S. Wadhwani, S. P. Gupta and V. Kumar, "Wavelet based vibration monitoring for detection of faults in ball bearings of rotating machines". Journal Inst. Eng. (India) -EL, Vol. 86, 2005, 77-81.
2. S. Pati, J. Mathew, P.K. RajendraKumar. "Bearing signature analysis as a medium for fault detection: A Review". Transactions of ASME, Journal of Tribology, Vol. 130, No. 1, 2008, 014001-1 to 7.
3. H. Ocak, K.A. Loparo, "A new bearing fault detection and diagnosis scheme based by on hidden Markov". Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP '2001, Salt Lake City-UT, USA, 2001.
4. E. K. Lada, J. C. Lu, J. R. Wilson, "A wavelet-based procedure for process fault detection". IEEE Transactions on Semiconductor Manufacturing, Vol. 15, No. 1, 2002, 79-90.
5. M. H. Kahaei, M. Torbatian, J. Poshtan, "Detection of bearing faults using Haar wavelets". IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E89-A(3), 2006, 757-763.
6. X. Lou, K. A. Loparo, F. M. Discenzo, J. Yoo, A. Twarowski, "A wavelet-based technique for bearing diagnostics". International Conference on Acoustics, Noise and Vibration, Montreal, Canada, August 2000.
7. J. Altmann, J. Mathew, "High frequency transient analysis for the detection and diagnosis of faults in low speed rolling element bearings". Proceedings of Asia Pacific Vibration Conference '97, Vol. 2, Kyungju, Korea, 1997.
8. H. R. Martin, F. Honarvar, "Application of statistical moments to bearing failure detection". Journal of Applied Acoustics, Vol. 44, 1995, 67-77.
9. R. B. W. Heng, M. J. M. Nor, "Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition", Journal of Applied Acoustics, Vol. 53, No. 1-3, 1998, 211-226.
10. Y. T. Su, S. J. Lin, "On initial fault detection of a tapered roller bearing: frequency domain analysis". Journal of Sound and Vibration, Vol. 155, No. 1, 1992, 75-84.
11. P. D. McFadden, J. D. Smith, "Vibration monitoring of rolling element bearings by high freq. resonance technique: A Review". Tribology International, Vol. 77, 1984, 3-10.
12. C. James Li, J. Ma, B. Hwang, "Bearing localized defect detection by bicoherence analysis of vibrations". Journal of Engineering for Industry, Vol. 117, November 1995, 625-629.
13. M. Subrahmanyam, C. Sujatha, "Using neural networks for the diagnosis of localized defects in ball bearings". Tribology International, Vol. 30, No. 10, 1997, 739-752.
14. C. James Li, Jun Ma, "Wavelet decomposition of vibrations for detection of bearing-localized defects". Independent Nondestructive Testing and Evaluation (NDT&E) International, Vol. 30, No. 3, 1997, 143-149.
15. Gary Y. Yen, Kuo-Chung Lin, "Wavelet packet feature extraction for vibration monitoring". Proceedings of the IEEE International Conference on Control Applications, August 1999, 1573- 1578.
16. S. H. Upadhyay, S. P. Harsha, S. C. Jain, "Nonlinear vibration signature analysis of high speed rotor due to defects of rolling element". Advances in Theoretical and Applied Mechanics, Vol. 1, No. 7, 2008, 301-314.
17. J. Altmann, J Mathew, "DWPA best basis demodulation for the detection and diagnosis of faults in rolling element bearings". Proceedings of the 1st Australasian Conference on Systems Integrity and Maintenance, Surfers Paradise, Australia, October 3, 1997, 331-339.
18. P.W. Tse, Y. H. Peng, Richard Yam, "Wavelet analysis and envelope detection for rolling element bearing fault diagnosis: Their effectiveness and flexibilities". Journal of Vibration and Acoustics, Vol. 123, No. 3, July 2001, 303-310.
19. V. Giurgiutiu, A. Cuc, P. Goodman, "Review of vibration-based helicopters health and usage monitoring methods". 55th Meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, VA, USA, April 2001.
20. Mertins A. Signal analysis: wavelets, filter banks, time-frequency transforms and applications. John Wiley & Sons Ltd; 1999.
21. J. Altmann, J. Mathew, "Multiple band-pass autoregressive demodulation for rolling-element bearing fault diagnosis. Mechanical Systems and Signal Processing, Vol. 15, No. 5, 2001, 963-977.
22. Case Western Reserve University Bearing Data Center. http://www.eecs.case.edu/laboratory/bearing/download.htm, 2009.
23. Wikipedia, The Free Encyclopedia, http://en.wikipedia.org/wiki/Naive_Bayes_classifier, 2009.