An approach for fault diagnosis of bearings using wavelet-based fractal analysis

2010 IEEE International Conference on Information and Automation, ICIA 2010

Volumn , Issue , 2010, Pages 2338-2343

  Li, Peng ^a   He, Qingbo ^a   Kong, Fanrang ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Bearing; Fault diagnosis; Fractal analysis; Vibration signal; Wavelet transform

Indexed keywords

1/F PROCESS; ACCELERATION SENSORS; ACCELERATION SIGNALS; BEARING; BEARING FAULT DIAGNOSIS; FAULT DIAGNOSIS; FRACTAL ANALYSIS; FRACTAL FEATURE; HIGH REPRODUCIBILITY; PRE-TREATMENT; VIBRATION SIGNAL; WORKING CONDITIONS; WORKING STATE;

BEARINGS (STRUCTURAL); DISCRETE WAVELET TRANSFORMS; FRACTAL DIMENSION;

VIBRATION ANALYSIS;

EID: 77955719823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICINFA.2010.5512434     Document Type: Conference Paper

References (23)

1. Xinsheng Loul, "Bearing fault diagnosis based on wavelet transform and fuzzy inference," Mechanical Systems and Signal Processing, vol. 18, pp. 1077-1095, 2004.
2. T.B. Brotherton and T. Pollard, "Applications of time-frequency and time-scale representations to fault detection and classification," Proceedings of the IEEE Signal Processing International Symposium on Time-Frequency and Time-Scale Analysis, Orlando, FL, vol. 2242, pp. 95-98, 1992.
3. H.C. Choe, C.E. Poole, and A.M. Yu, "Novel Identification of Intercepted Signals from Unknown Radio Transmitters," Proceedings of the SPIE Wavelet Applications, vol. 2419, pp. 504-517, 1995.
4. D.-M. Yang, A.F. Stronach, and P. MacConnel, "Third-order spectral techniques for the diagnosis of motor bearing condition using artificial neural network," Mechanical Systems and Signal Processing, vol. 16 (2-3), pp. 391-411, 2002.
5. J.A. Leonard and M.A. Kramer, "Radial basis function networks for classifying process faults," IEEE Control Systems Magazine, pp. 31-38, 1991.
6. M. Chow, R.N. Sharpe, and J. Hung, "On the application and design of artificial neural network for motor fault detection," IEEE Transactions on Industrial Electronics,vol. 40 (2), pp. 189-196, 1993.
7. L.P. Heck and K.C. Chou, "Gaussian mixture model classifier for machine monitoring," Proceedings of the IEEE world Congress on Computational Neural Network and International Conference on Intelligence, vol. 7, pp. 4493-4496, 1994.
8. G. Goddu, B. Li, and M. Y. Chow, " Motor bearing fault diagnosis by a fundamental frequency amplitude based fuzzy decision system," Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society, pp. 1961-1965, 1998.
9. Bo Li, Mo-Yuen Chow, Yodyium Tipsuwan, and James C. Hung, "Neural-network-based motor rolling bearing fault diagnosis," IEEE Transactions on Industrial Electronics, vol. 47, No. 5, pp. 1060-1070.
10. G. Lipovszky, K. Solyomvari, and G. Varga, "Vibration testing of machines and their maintenance," Amsterdam, The Netherlands: Elsevier, 1990.
11. T. A. Harris, "Rolling bearing analysis," New York: Wiley, 1991.
12. M. Donley, W. Stokes, G. S. Jeong, K. K. Suh, and S. G. Jung, "Validation of finite element models for noise/vibration/harshness simulation," Sound Vib., vol. 30, No. 8, pp. 18-23, August 1996.
13. B. B. Mandelbrot, "The fractal geometry of nature," New York: Freeman, 1983.
14. Masaki Sekine, "Discrimination of walking patterns using wavelet-based fractal analysis," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 10, No. 3, pp. 188-197, September 2002.
15. I. Daubechies, "Orthonormal bases of compactly supported wavelets," Commun. Pure. Appl., pp. 909-996, March 1988.
16. B. B. Mandelbrot and H. W. Van Ness, "Fractional Brownian motions, fractional noises, and applications," SIAM Rev., vol. 10, pp. 422-436. October 1968.
17. W. G.Wornell and A. V. Oppenheim, "Estimation of fractal signals from noisy measurement using wavelets," IEEE Trans. Signal Processing, vol. 40, pp. 611-623, March 1992.
18. M. Akay and E. J. H. Mulder, "Effects of maternal alcohol intake on fractal properties in human fetal breathing dynamics," IEEE Trans. Biomed. Eng., vol. 45, pp. 1097-1103, September 1998.
19. Junyan Yang, Youyun Zhang, and Yongsheng Zhu, "Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension," Mechanical Systems and Signal Processing, vol. 21, Issue 5, pp. 2012-2024, July 2007.
20. P. Flandrin, "On the spectrum of fractional Brownian motions," IEEE Trans. Inform. Theory, vol. 35, pp. 197-199, January 1989.
21. P Flandrin, "Wavelet analysis and synthesis of fractional Brownian motion," IEEE Trans. Inform. Theory, vol. 38, pp. 910-917, March 1992.
22. M. S. Keshner, "1/f noise," Proc. IEEE. vol. 70, pp. 212-218, March 1982.
23. R. J. Barton and V. H. Poor, "Signal detection in fractional Gaussian noise," IEEE Trans. Inform. Theory, vol. 34, pp. 943-959, September 1988.