Parametric phase coupling in the vibration spectra of rolling element bearings

Mechanical Systems and Signal Processing

Volumn 8, Issue 2, 1994, Pages 215-228

  Baugh, K W ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 43949151363     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1006/mssp.1994.1017     Document Type: Article

References (17)

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4. J. Chandler 1991 Sound and Vibration November, 18-22. Meaningful vibration measurements for predictive maintenance.
5. J. Sandy 1988 Sound and Vibration June, 16-20. Monitoring and diagnostics of rolling element bearings.
6. Z. Reif and M. S. Lai 1989 Rotating Machinery Dynamics, 12th Biennial Conference on Mechanical Vibration and Noise, Montreal, pp. 231-236. Detection of developing bearing failures by means of vibration.
7. C. S. Sonnersjo 1985 Journal of Sound and Vibration 98, 455-474. Rolling bearing vibrations— the effects of geometrical imperfections and wear.
8. T. Harris 1966 Rolling Bearing Analysis. New York: John Wiley.
9. K. M. Ragulskis, A. Y. Jurakauska, V. V. Atstupenas, A. Y. Vitkute and A. P. Kulvec 1974 Vibration of Bearings, New Delhi: Amerind Publishing.
10. M. J. Hinich 1992 ARL Technical Paper ARL-TP-92-4, Applied Research Laboratories, The University of Texas, Austin, TX 78713-8029. Higher order cumulants and cumulant spectra.
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12. G. R. Wilson, K. R. Hardwicke and R. Trochta 1992 Proceedings ICASSP-92, International Conference on Acoustics, Speech, and Signal Processing, San Francisco, Vol 5, pp. 201-204. Coherent harmonic detection using non-stationary higher-order spectra.
13. F. Harris 1978 Proceedings of the IEEE, 66 57-83. On the use of windows for harmonic analysis with the discrete fourier transform.
14. H. Cramer 1946 Mathematical Methods of Statistics, Princeton NJ: Princeton University Press.
15. J. I. Taylor Determination of antifriction bearing condition by spectral analysis. Technical Interchange on Machinery Vibration Monitoring and Analysis, No. 6, pp. 1-26. Clarendon Hills, IL: The Vibration Institute.
16. M. J. Hinich, R. W. Barker, G-A. Klutke, C. N. Ramirez and R. J. Thornhill, 1991 ARL Technical Paper ARL-TP-9-2, Applied Research Laboratories, The University of Texas, Austin, TX 78713-8029. Time series pattern recognition for monitoring rotating machinery condition.
17. R. W. Barker, G. Klutke and M. J. Hinich 1993. Journal of Engineering for Industry 115, 23-29. Monitoring rotating tool wear using higher-order spectral features.