Sage Journals: Discover world-class research

Abstract

Vibratory analysis allows us to interpret the fundamental conditions of rotating machines. This interpretation is useful in the diagnosis of defects. Many studies implement advanced processing tools for mechanical detection of defects in individual components. Among these processes, wavelet demodulation is a powerful tool for signal processing. This technique requires the use of a traditional wavelet, such as a Morlet wavelet, which is defined by two parameters: Decrease and frequency. However, this determination is hard to do. Moreover, the processing required is very expensive in computing time, which prevents instantaneous follow-up. This paper suggests a new form of wavelet, which is adapted to shock response, and a methodology for its use in which the parameters are determined automatically.

Keywords

Demodulation wavelet mechanical shock response modal analysis.

Get full access to this article

View all access options for this article.

References

Blake, R.E. , 1961, Shock and Vibration Handbook, McGraw-Hill , New York.

Burchill, R.F. , 1973, "Resonant structure techniques for bearing fault analysis ," in Proceedings of the 18th Meeting of Mechanical Failures Prevention Group, National Bureau of Standards , USA, NBSIR 73-252, pp. 21-29.

Dyer, D. and Stewart, R.M. , 1978, "Detection of rolling element bearing damage by statistical vibration analysis," Journal of Mechanical Design 100, 229-235.

Igarashi, T. and Hamada, H. , 1982, "Studies on the vibration and sound of defective rolling bearings (first report: vibration of ball bearings with one defect)," Bulletins of the JSME 25(204), 994-1001.

Li, C.J. and Ma, J. , 1997, "Wavelet decomposition of vibrations for detection of bearing-localized defects," NDTE International 30(3), 143-149.

McFadden, P.D. and Smith, J.D. , 1984, "Vibration monitoring of rolling element bearings by the high-frequency resonance technique-a review," Tribology International 17, 3-10.

Miyachi, T. and Seki, K. , 1986, "An investigation of the early detection of defects in ball bearings using vibration monitoring-practical limit of detectability and growth speed of defects," in Proceedings of the International Conference on Rotordynamics, Tokyo, Japan, pp. 403-408.

Misiti, M. , Misiti, Y. , Oppenheim, G. , and Poggi, J.M. , 2003, Wavelets and their Applications, Hermes Science Publications, Paris, France.

Mori, K. , Kasashima, N. , Yoshioka, T. , and Ueno, Y. , 1996, "Prediction of spalling on a ball bearing by applying the discrete wavelet transform to vibration signals," Wear 195, 162-168.

10.

Nélias, D. , Dumont, N.L. , Couhier, F. , Dudragne, G. , and Flamand , 1998, "Experimental and theorical investigation on rolling contact fatigue of 52100 and M50 steels under EHL or micro-EHL conditions," ASME Journal of Tribology 120, 184-190.

11.

Nikolaou, N.G. and Antoniadis, I.A. , 2002, "Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted morlet wavelets," Mechanical Systems and Signal Processing 16, 677-694.

12.

Rubini, R. and Meneghetti, U. , 2001, "Application of the envelope and wavelet transform analysis for the diagnosis of incipient faults in ball bearings," Mechanical Systems and Signal Processing 15, 287-302.

13.

Tandon, N. and Nakra, B.C. , 1992, "Vibration and acoustic monitoring techniques for the detection of defects in rolling elements bearings, a review," Shock and Vibration Digest 24(3), 3-11.

14.

Tandon, N. and Choudhury, A. , 1999, "A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings," Tribology International 32, 469-480.

15.

Weichbrodt, B. and Bowden, J. , 1970, "Instrument for predicting bearing damage," GE Co. Report S-70-1021 AD 869633, General Electric, Fairfield, CT.

Early Detection of Rolling Bearing Defect by Demodulation of Vibration Signal Using Adapted Wavelet

Abstract

Keywords

Get full access to this article

References