Higher-order spectral techniques for machine vibration condition monitoring

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Volumn 211, Issue 4, 1997, Pages 211-218

  Howard, I M ^a  

^a CURTIN UNIVERSITY   (Australia)

Author keywords

Bispectrum; Frequency imeche 1997; Higher order spectral techniques; Trispectrum; Vibration

Indexed keywords

EID: 0003845257     PISSN: 09544100     EISSN: None     Source Type: Journal    
DOI: 10.1243/0954410971532622     Document Type: Article

References (23)

1. Howard, I. M. Vibration signal processing using MATLAB. Acotist. Australia, April 1995, 23(1), 9-13.
2. Kirn, Y. C. and Powers, E. J. Digital bispectral analysis and its applications to nonlinear wave interactions. IEEE Trans, on Plasma Sci., June 1979, PS-7(2), 120-131.
3. Nikias, C. L. and Raghuveer, M. R. Bispectrum estimation: a digital signal processing framework. Proc. IEEE, July 1987, 75(7), 869-891.
4. Dalle Molle, J. W. and Hinich, M. J. The trispectrum. In Proceedings of Workshop on Higher-Order Spectral Analysis, Vail, Colorado, 1989, pp. 68-72.
5. Bendat, J. S. Nonlinear System Analysis and Identification from Random Data, 1990 (John Wiley, New York).
6. Mendel, J. M. Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications. Proc. IEEE, March 1991, 79(3), 278-305.
7. Comprehensive Bibliography on Higher-Order Statistics (Spectra), 1992, United Signals and Systems, Inc., PO Box 2374, Culver City, CA 90231, USA.
8. Nikias, C. L. and Mendel, J. M. Signal processing with higher-order spectra. IEEE Signal Processing Mag., July 1993, 10-37.
9. Nikias, C. L. and Petropulu, A. P. Higher-Order Spectra Analysis-A Nonlinear Signal Processing Framework, 1993 (Prentice-Hall, Englewood Cliffs, New Jersey).
10. Fackrell, J. W. A., White, P. R., Hammond, J. K., Pinnington, R. J. and Parsons, A. T. The interpretation of the bispectra of vibration signals-I. Theory. Mech. Systems and Signal Processing, 1995, 9(3), 257-266.
11. Fackrell, J. W. A., White, P. R., Hammond, J. K., Pinnington, R. J. and Parsons, A. T. The interpretation of the bispectra of vibration signals-II. Experimental results and applications. Mech. Systems and Signal Processing, 1995, 9(3), 267-274.
12. Eshleman, R. L. The role of sum and difference frequencies in rotating machinery fault diagnosis. In Proceedings of Second International Conference on Vibrations in Rotating Machiner}', 1980, pp. 145-149.
13. Randall, R. B. A new method of modelling gear faults. Trans. ASME. J. Mech. Des., April 1982, 104, 259-267.
14. Dale, A. K. Gear noise and the sideband phenomenon. In ASME Design Engineering Technology Conference, October 1984, ASME paper 84-DET-174, 1984 (American Society of Mechanical Engineers, New York).
15. Coffin, T. and Jong, J. Y. Signal detection techniques for diagnostic monitoring of space shuttle main engine turbomachinery. Wyle Laboratories technical report 66938-01. A final report of work performed for NASA Marshall under Contract NAS8-34961, February 1986.
16. Jong, J. Y. Signal processing and diagnostic techniques for space shuttle main engine diagnostic evaluation. Seminar notes prepared for Structures and Dynamics Laboratory, Marshall Space Flight Center, NASA Contract NAS8-38156, Wyle Laboratories, February 1991.
17. Jong, J. Y., Jones, J., Jones, P., Nesnian, T. and Zolad, T. Nonlinear correlation analysis for rocket engine turbomachinery vibration diagnostics. In Proceedings of the Forty-eighth Meeting of the Mechanical Failures Prevention Group, Wakefield, Massachusetts, 19-21 April 1994, pp. 379-389.
18. Li, C. J., Ma, J., Hvvang, B. and Nickerson, G. W. Pattern recognition based bicoherence analysis of vibrations for bearing condition monitoring. In Proceedings of the Symposium on Sensors, Controls and Quality Issues in Manufacturing, ASME Winter Annual Meeting, Atlanta, Georgia, December 1991, pp. 1-11 (American Society of Mechanical Engineers, New York).
19. Li, C. J., Ma, J., Hwang, B. and Nickerson, G. W. Bispectral analysis of vibrations for bearing condition monitoring. In Proceedings of Third International Conference on Machinery Monitoring and Diagnostics, Las Vegas, Nevada, 9-12 December 1991, pp. 225-231.
20. Li, C. J., Ma, J. and Hwang, B. Bearing condition monitoring by pattern recognition based on bicoherence analysis of vibration. Proc. Instn Mech. Engrs, Part C, 1996, 210(C3), 277-285.
21. Howard, I. M. Bispectral analysis for bearing vibration analysis. In Proceedings of the 1994 Tri-Annual Conference on Vibration and Noise, Perth, May 1994, Vol. 3, pp. 183192.
22. Howard, I. M. A review of rolling element bearing vibration: detection, diagnosis and prognosis. DSTO research report 0013, October 1994.
23. Jong, J. Y. Intelligent machinery health monitoring system for failure prediction and prevention. AI Signal Research technical report TR-4012-94-12, Huntsville, Alabama, December 1994.