The use of vibration signals for ceramic bearing prognostics

IIE Annual Conference and Expo 2010 Proceedings

Volumn , Issue , 2010, Pages

  He, David ^a   Panyala, Arvind ^a   Li, Ruoyu ^a   Ma, Jinghua ^a  

^a University of Illinois at Chicago   (United States)

Author keywords

Hybrid ceramic bearings; Particle filtering; Prognostics

Indexed keywords

MONTE CARLO METHODS; SIGNAL FILTERING AND PREDICTION; SYSTEMS ENGINEERING;

CERAMIC BEARING; CONVENTIONAL STEEL; HYBRID CERAMIC BEARINGS; PARTICLE FILTERING; PROGNOSTICS; RUN TO FAILURES; VALIDATION RESULTS; VIBRATION SIGNAL;

NONMETALLIC BEARINGS;

EID: 84901009080     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Niizeki S., 2000, "Ceramic Bearing for Special Environments", NSK Journal of Motion & Control, No. 8, pp. 17 - 22.
2. Zaretsky E. V., 1997, Tribology for Aerospace Applications, Society of Tribologists and Lubrication Engineers, Park Ridge, IL.
3. Stoneburner M., 2005, Hybrid Ceramic Bearings: More Mettle than Metal, Applied Industrial Technologies Corporation, Cleveland, OH.
4. Wang L., Snidle R. W., and Gu L., 2000, "Rolling Contact Silicon Nitride Bearing Technology", Wear, Vol. 246, No. 1, pp. 159-173.
5. Warrier S. G., Jarmon D. C., and Chin H. A., 2000, "Finite Element Analysis of the Critical Flaw Size in Hybrid Silicon Nitride Bearing Ball", Proc. of ASME Turbo Expo 2000, No. 2000-GT-65, Munich, Germany.
6. 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.
7. Rhoads M. and Bashyam M., 1994, "Engine Hybrid Ceramic Bearings", WL-TR-95-4081, Wright Patterson AFB, OH.
8. 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.
9. 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.
10. 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.
11. Ebert F. J., 1990, "Performance of Silicon Nitride Components in Aerospace Bearing Applications", ASME Publication, No. 90-GT-166.
12. Takebayashi H., 2001, "Bearings for Extreme Environments - Part 3, Basic Performance of Ceramic (Silicon Nitride) Bearings", KOYO Engineering Journal English Edition, No. 158E.
13. Dempsey P. J., Certo J. M., and Morales W., 2004, "Current Status of Hybrid bearing Damage Detection", NASA/TM-2004-212882, NASA, Cleveland, OH.
14. 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.
15. 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.
16. Saha B. and Goebel K., 2009, "Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework", Annual Conference of the Prognostics and Health Management Society, San Diego, CA.
17. Cadini F., Zio E., and Avram D., 2009, "Monte Carlo-based Filtering for Fatigue Crack Growth Estimation", Probabilistic Engineering Mechanics, Vol. 24, pp. 367 - 373.
18. Zhang B., Sconyers C., Patrick R., and Vachtsevanos G., 2009, "A Multi-Fault Modeling Approach for Fault Diagnosis and Failure Prognosis of Engineering Systems", Annual Conference of the Prognostics and Health Management Society, San Diego, CA.
19. Orchard M. E. and Vachtsevanos G. J., 2009, "A Particle-filtering Approach for On-line Fault Diagnosis and Failure Prognosis", Transactions of the Institute of Measurement and Control, Vol. 31, No. 3-4, pp. 221-246.
20. He D. and Bechhoefer E., 2008, "Bearing Prognostics using HUMS Condition Indicators", American Helicopter Society 64th Annual Forum, Montreal, Canada.
21. Li Y., Billington S., Zhang C., Kurfess T., Danyluck S., and Liang S., 1999, "Adaptive Prognosis for Rolling Element Bearing Condition", Mechanical Systems and Signal Processing, Vol. 13, No. 1, pp. 103-113.
22. Sanjeev M. A., Maskell S., Gordon N., and Clapp T., 2002, "A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking", IEEE Transactions on Signal Processing, Vol. 50, No. 2, pp. 174-188.
23. Lennart L., 1987, System Identification: Theory for the User, Prentice Hall, Upper Saddle River, NJ.