How to diagnose the wear of rolling element bearings based on indirect condition monitoring methods

International Journal of COMADEM

Volumn 9, Issue 3, 2006, Pages 24-38

  Jantunen, Erkki ^a  

^a VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

Author keywords

Acoustic emission; Condition monitoring; Diagnosis; Oil analysis; Prognosis; Rolling element bearing; Vibration measurement; Wear

Indexed keywords

OIL ANALYSIS; POLYNOMIAL REGRESSION FUNCTIONS; PROGNOSIS; ROLLING ELEMENT BEARINGS;

ACOUSTIC EMISSIONS; CONDITION MONITORING; FUZZY SETS; GEARS; POLYNOMIAL APPROXIMATION; ROTATING MACHINERY; VIBRATION MEASUREMENT; WEAR OF MATERIALS;

ROLLER BEARINGS;

EID: 33845674211     PISSN: 13637681     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (40)

1. Holmberg K. (1991) Tribological Bases for Accelerated Testing, in Operational Reliability and. Systematic Maintenance eds. K. Holmberg and A. Folkeson, Elsevier Applied Science, ISBN 1-85166-612-5.
2. Onsoyen E. (1991) Accelerated Testing of Components Exposed to Wear, in Operational Reliability and Systematic Maintenance, eds. K. Holmberg and A. Folkeson, Elsevier Applied Science, ISBN 1-85166-612-5.
3. Jantunen E. and Poikonen A. (1993) Dynamics in Monitoring Gear Faults, Proceedings of the 47th Meeting of Mechanical Failures Prevention Group, Virginia Beach, Virginia, USA.
4. Wowk V. (1991) Machinery Vibration, Measurement and Analysis, McGraw-Hill Inc., ISBN 0-07-071936-5
5. Jantunen E. (2003) Prognosis of Wear Progress Based on Regression Analysis of Condition Monitoring Parameters, Proceedings of the 16th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM), Växjö, Sweden, pp 481-491, ISBN 91-7636-376-7.
6. Rao V.B. and Rao H.V. (1993) C++ Neural Networks and Fuzzy Logic, Management Information Source, Inc., ISBN 1-55828-298-x.
7. Jantunen E. (2004) Intelligent Monitoring and Prognosis of Degradation of Rotating Machinery, Proceedings of the IMS'2004, Intelligent Maintenance Systems, Advances in Maintenance and Modelling, Simulation and Intelligent Monitoring of Degradation, Arles, France
8. Newland D.E. (1993) An Introduction to Random Vibrations, Spectral & Wavelet Analysis, Longman Scientific & Technical, ISBN 0582 21584 6
9. Ioannides E., 1990, Contamination and the SKF New Life Theory for Rolling Bearings, NLGI Spokesman, 54, 9, 14-19
10. Dwyer-Jones R.S., 1999, Predicting the Abrasive Wear of Ball Bearings by Lubricant Debris, Wear, Vol. 233-235, pp. 692-701
11. Fitzsimmons B. and Clevenger H.D., 1975, Contaminated Lubricants and Tapered Roller Bearing Wear, ASLE Transactions, Vol. 20, No. 2, 97-107
12. Farcas F. and Gafitanu M.D., 1999, Some Influence Parameters on Greases Lubricated Rolling Contacts Service Life, Wear, 225-229, 1004-1010
13. Ramesh R. and Gnanamoorthy R., 2004, Development of a Fretting Wear Test Rig and Preliminary Studies for Understanding the Fretting Wear. Properties of Steels, Materials and Design, Article in Press
14. Evans J.S. and Hunt T.M., 2003, The Oil Analysis Handbook, Machine and Systems Condition Monitoring Series, Coxmoor Publishing Company, ISBN 1 901892050
15. Holroyd T.J., 2000, The Acoustic Emission & Ultrasonic Monitoring Handbook, Machine and Systems Condition Monitoring Series, Coxmoor Publishing Company, ISBN 1 90189 207 7
16. Sun J., Wood R.J.K., Wang L., Care I. and Powrie H.E.G., 2005, Wear Monitoring of Bearing Steel Using Electrostatic and Acoustic Emission Techniques, Wear, Article in Press
17. Miettinen J. and Andersson P., 2000, Acoustic Emission of Rolling Bearings Lubricated with Contaminated Grease, Tribology International, Vol. 33, 777-787
18. Choudhury A. and Tandon N., 2000, Application of Acoustic Emission Technique for the Detection of defects in Rolling Element Bearings, Tribology International, Vol. 33, 39-45
19. Miettinen J., 2004, Operation Monitoring of Grease Lubricated Rolling Bearings by Acoustic Emission Measurements, International Journal of COMADEM, Vol. 7, No. 2, 2-11
20. Taylor J.I. and Kirkland, 2004, The Bearing Analysis Handbook, A Practical Guide for Solving Vibration Problems in Bearings, Vibration Consultants Inc., ISBN 0-9640517-3-7
21. Tandon N. and Choudhury A., 1997, An Analytical Model for the Prediction of the Vibration Response of Rolling Element Bearings Due to a Localized Defect. Journal of Sound and Vibration, Vol. 205, No. 3, 275-292
22. Kiral Z. and Karagülle H., 2003, Simulation and Analysis of Vibration Signals Generated by Rolling Elememnt Bearing with Defects, Tribology International, Vol. 36, 667-678
23. Wang Y.-F. and Kootsookos P.J., 1998, Modelling of Low Shaft Speed Bearing Faults for Condition Monitoring, Mechanical Systems and Signal Processing, Vol. 12, No. 3, 415-426
24. Mori K., Kasashima N., Yoshioka T. and Ueno Y., Prediction of Spalling an a Ball Bearing by Applying the Discrete Wavelet Transform to Vibration Signals, Wear, Vol. 195, 162-168
25. Ericsson S., Grip N., Johansson E., Persson L-E., Sjöberg R. and Strömberg J-O., 2005, Towards Automatic Detection of Local Bearing Defects in Rotating Machines, Mechanical Systems and Signal Processing, Vol. 19, 509-535
26. McFadden P.D. and Toozhy M.M., 2000, Application of Synchronous Averaging to Vibration Monitoring of Rolling Element Bearings, Mechanical Systems and Signal Processing, Vol. 14, No. 6, 891-906
27. Milton J.S. and Arnold J.C. (1995) Introduction to Probability and Statistics, Principles and Applications for Engineering and the Computing Sciences, McGraw-Hill, 3rd ed., ISBN 0-07-042623-6.
28. Jantunen E. (2004) Diagnosis of tool wear based on regression analysis and fuzzy logic, Proceedings of MIMAR2004, the 5th IMA International Conference 5-7 April, Salford, United Kingdom, pp 127-132, ISBN 0905091 159
29. Condition Monitoring, Vibration Measurement, Planning of Condition Monitoring, PSK 5705 standard in PSK-käsikirja 3,Vibration Measurement, Condition Monitoring, 4th ed, 2000, ISBN 951-97098-4-3
30. Shiroishi J., Li Y., Liang S., Kurfess T. and Danyluk S., 1997, Bearing Condition Diagnostics via Vibration and Acoustic Emission Measurements, Mechanical Systems and Signal Processing, Vol. 11, No. 5, 693-705
31. Al-Ghamd A. and Mba D., A Comparative Experimental Study on the Use of Acoustic Emission and Vibration Analysis for Bearing Defect Identification and Estimation of Defect Size, Article in Press, Mechanical Systems and Signal Processing, Available online at www.sciencedirect.com
32. Tandon N. and Choudhury A., 1999, A Review of Vibration and Acoustic Measurement Methods for the Detection of Defects in Rolling Element Bearings, Tribology International, Vol. 32, 469-480
33. Heng R.B.W. and Nor M.J.M., 1998, Statistical Analysis of Sound and Vibration Signals for Monitoring Rolling Element Bearing Condition, Applied Acoustics, Vol. 53, No. 1-3, 211-226
34. Williams, J.H., Davies, A. and Drake, P.R. 1994. Condition-Based Maintenance and Machine Diagnostics. Chapman & Hall. ISBN 0-412-46500-0
35. Li Y., Billington S., Zhang C., Kurfess T., Danyluk and Liang S., 1999, Adaptive Prognostics for Rolling Element Bearing Condition, 1999, Mechanical Systems and Signal Processing, Vol. 13, No. 1, 103-113
36. Li Y., Kurfess T.R. and Liang S.Y., 2000, Stochastic Prognostics for Rolling Element Bearings, Mechanical Systems and Signal Processing, Vol. 14, No. 5, 747-762
37. Jantunen E., 2004, Prognosis of Rolling Bearing Failure Based on Regression Analysis and Fuzzy Logic, A Fusion of Harmonics, Proceedings of the 3rd International Conference on Vibration Engineering and Technology of Machinery and the 4th Asia-Pasific Conference on System Integrity and Maintenance, Vol. I, Allied Publishers Pvt. Limited, 390-399, ISBN 81-7764-700-8
38. Jantunen E. (2000) Flexible Hierarchical Neuro-Fuzzy System for Prognosis, Proceedings of the 13th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM), Houston, Texas, USA, pp. 699-708, ISBN 0-9635450-2-7
39. Howard P.L., 1975, Noise Testing of Rolling Element Bearings, NLGI Spokesman, 39, 54-60
40. Reeves C.W., 1998, Vibration, Machine and Systems Condition Monitoring Series, Coxmoor Publishing Company, ISBN 1 90189 200 X