Investigation on full ceramic bearing fault diagnostics using vibration and AE sensors

PHM 2012 - 2012 IEEE Int. Conf.on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHM Technology and Application, Conference Program

Volumn , Issue , 2012, Pages

  Li, Ruoyu ^a   He, David ^b   Zhu, Junda ^b  

^a SKF USA Inc   (United States)

^b University of Illinois at Chicago   (United States)

Author keywords

acoustic emission; condition indicator; empirical mode decomposition; fault diagnostics; Full ceramic bearing; vibration

Indexed keywords

CERAMIC BEARING; CONDITION INDICATORS; EMPIRICAL MODE DECOMPOSITION; FAULT DIAGNOSTICS; VIBRATION;

ACOUSTIC EMISSIONS; FEATURE EXTRACTION; RESEARCH; SENSORS; SIGNAL PROCESSING; SYSTEMS ENGINEERING;

NONMETALLIC BEARINGS;

EID: 84868255345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPHM.2012.6299517     Document Type: Conference Paper

References (24)

1. Abbasion S., Rafsanjani A., Farshidianfar A., and Irani N., 2007, "Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine," Mechanical Systems and Signal Processing, vol. 21, pp. 2933-2945.
2. Arulampalam S. and Ristic B., 2000"Comparison of the particle filter with range parameterized and modified polar EKFs for angle-only tracking", Proc. SPIE, Vol. 4048, pp. 288-299.
3. Byington C. S., Orsagh R., Pattada K., Sheldon J., DeChristopher M., Amin S., and Hines J., 2006, "Recent Case Studies in Bearing Fault Detection and Prognosis", IEEE Aerospace Conference, Big Sky, Montana, Canada.
4. Chao L. Y., Shetty D. K., Adair J. H., and Mecholsky Jr. J. J., 1995, "Development of Silicon Nitride for Rolling Contact Bearing Applications: A Review", Journal of Materials Education, Vol. 17, No. 5-6, pp. 245-303.
5. Dempsey P. J., Certo J. M., and Morales W., 2004, "Current Status of Hybrid bearing Damage Detection", NASA/TM-2004-212882, NASA, Cleveland, OH.
6. Dempsey P. J., Joseph M. C., Robert F. H., and Florin D., 2005, "Hybrid Bearing Prognostic Test Rig", NASA/TM-2005-213597, NASA, Cleveland, OH.
7. Dolinek, S. and Kopa, J., 1999, "Acoustic emission signals for tool wear identification," Wear, Vol. 225, pp. 295-303.
8. Ebert F. J., 1990, "Performance of Silicon Nitride Components in Aerospace Bearing Applications", ASME Publication, No. 90-GT-166.
9. Everson, C. and Cheraghi, S. H., 1999, "The application of acoustic emission for precision drilling process monitoring," International Journal of Machine Tools and Manufacture, Vol. 39, pp. 371-387.
10. He, D., Panyala, A., Li, R., and Ma, J., 2010, "The Use of Vibration Signals for Ceramic Bearing Prognostics", Proceedings of the 2010 Industrial Engineering Research Conference, Cancun, Mexico June 5-9.
11. Huang, N., Shen, Z., Long, S., Wu, M., Shih, H, Zheng, Q., Yen, N., Tung, C., and Liu, H., 1998, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proceedings of the Royal Society of London A, Vol. 454, pp. 903-995.
12. Jack L. and Nandi A., 2002, "Fault detection using support vector machines and artificial neural networks, augmented by genetic algorithms," Mechanical Systems and Signal Processing, vol. 16, pp. 373-390.
13. Jalan A. K. and Mohanty A., 2009, "Model based fault diagnosis of a rotor-bearing system for misalignment and unbalance under steady-state condition," Journal of Sound and Vibration, vol. 327, pp. 604-622.
14. Jardine A. K. S., Lin D., and Banjevic D., 2006, "A review on machinery diagnostics and prognostics implementing condition-based maintenance," Mechanical Systems and Signal Processing, vol. 20, pp. 1483-1510.
15. Liu, B., Riemenschneider, S., and Xu, Y., 2006, "Gearbox fault diagnosis using empirical mode decomposition and Hilbert spectrum," Mechanical Systems and Signal Processing, Vol. 20, pp. 718-734.
16. Loparo A. K. Adams M. L., Lin W., Abdel-Magied M. F., and Afshari N., 2000, "Fault detection and diagnosis of rotating machinery," IEEE Transactions on Industrial Electronics, Vol. 47, No. 5, pp. 1005 - 1014.
17. Ma, J. and He, D., 2010, "Development of Integrated Prognostics: An Application to Hybrid Ceramic Bearing Life Prediction", Proceedings of the 2010 Second IITA International Joint Conference on Artificial Intelligence, Shanghai, China, December 25-26.
18. Niizeki S., 2000, "Ceramic Bearing for Special Environments", NSK Journal of Motion & Control, No. 8, pp. 17 - 22.
19. Ohta H. and Kobayashi K., 1995, "Vibrations of hybrid ceramic ball bearings", The Japan Society of Mechanical Engineers, Vol. 61, No. 589, pp. 4736-4743.
20. Rhoads M. and Bashyam M., 1994, "Engine Hybrid Ceramic Bearings", WL-TR-95-4081, Wright Patterson AFB, OH.
21. Samanta B., Al-Balushi K., and Al-Araimi S., 2003, "Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection," Engineering Applications of Artificial Intelligence, vol. 16, pp. 657-665.
22. Takebayashi H., 2001, "Bearings for Extreme Environments - Part 3, Basic Performance of Ceramic (Silicon Nitride) Bearings", KOYO Engineering Journal English Edition, No. 158E.
23. Wereszczak A. A., Wang W., Wang Y., Hadfield M. K., Kirkland W. T. P., and Jadaan M., 2006, "Rolling Contact Fatigue of Ceramics", ORNL/TM-2006/521 Report.
24. Yan, R. and Gao, R., 2006, "Hilbert-Huang transform-based vibration signal analysis for machine health monitoring," IEEE Transactions on Instrumentation and Measurement, Vol. 55, pp. 2320-2329.