Vibration analysis of rolling element bearings with various defects under the action of an unbalanced force

Mechanical Systems and Signal Processing

Volumn 20, Issue 8, 2006, Pages 1967-1991

  Kiral, Zeki ^a   Karagülle, Hira ^a  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

Author keywords

Finite element vibration analysis; Localised defects; Rolling element bearings; Unbalanced force

Indexed keywords

BEARINGS (MACHINE PARTS); COMPUTER PROGRAMMING LANGUAGES; ELECTRIC EXCITATION; FINITE ELEMENT METHOD; GRAPHIC METHODS; USER INTERFACES; VIBRATION MEASUREMENT;

FINITE ELEMENT VIBRATION ANALYSIS; LOCALISED DEFECTS; ROLLING ELEMENT BEARINGS; UNBALANCED FORCE;

ROLLING;

EID: 33747020505     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2005.05.001     Document Type: Article

References (32)

1. Tandon N., and Choudhury A. A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings. Tribology International 32 (1999) 469-480
2. McFadden P.D., and Smith J.D. Model for the vibration produced by a single point defect in a rolling element bearing. Journal of Sound and Vibration 96 (1984) 69-82
3. Su Y.-T., and Lin S.-J. On initial fault detection of a tapered roller bearing: frequency domain analysis. Journal of Sound and Vibration 155 (1992) 75-84
4. Wang W.-Y., and Harrap M.J. Sync-period frequency analysis and its application to the diagnosis of multiple element defects of rolling bearings. Tribotest Journal 5 (1998) 173-185
5. Tandon N., and Choudhury A. An analytical model for the prediction of the vibration response of rolling element bearings due to a localized defect. Journal of Sound and Vibration 205 (1997) 275-292
6. Choudhury A., and Tandon N. A theoretical model to predict vibration response of rolling bearings to distributed defects under radial load. Transactions of the ASME 120 (1998) 214-220
7. Wang Y.-F., and Kootsookos P.J. Modeling of low shaft speed bearing faults for condition monitoring. Mechanical Systems and Signal Processing 12 (1998) 415-426
8. Honarvar F., and Martin H.R. New statistical moments for diagnostics of rolling element bearings. Journal of Manufacturing Science and Engineering 119 (1997) 425-432
9. Martin H.R., and Honarvar F. Application of statistical moments to bearing failure detection. Applied Acoustics 44 (1995) 67-77
10. Heng R.B.W., and Nor M.J.M. Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition. Applied Acoustics 53 (1998) 211-226
11. Williams T., Ribadeneira X., Billington S., and Kurfess T. Rolling element bearing diagnostics in run-to-failure lifetime testing. Mechanical Systems and Signal Processing 15 5 (2001) 979-993
12. McFadden P.D., and Smith J.D. Vibration monitoring of rolling element bearings by the high-frequency resonance technique-a review. Tribology International 17 (1984) 3-10
13. McFadden P.D., and Toozhy M.M. Application of synchronous averaging to vibration monitoring of rolling element bearings. Mechanical Systems and Signal Processing 14 6 (2000) 891-906
14. Nikolaou N.G., and Antoniadis I.A. Rolling element bearing fault diagnosis using wavelet packets. NDT&E International 35 (2002) 197-205
15. Nikolaou N.G., and Antoniadis I.A. Demodulation of vibration signals generated by defects in rolling element bearing using complex shifted morlet wavelets. Mechanical Systems and Signal Processing 16 4 (2002) 677-694
16. Peter W.T., Peng Y.H., and Richard Y. Wavelet analysis and envelope detection for rolling element bearing fault diagnosis-their effectiveness and flexibilities. Journal of Vibration and Acoustics 123 (2001) 303-310
17. Li C.J., and Ma J. Wavelet decomposition of vibrations for detection of bearing-localized defects. NDT&E International 30 (1997) 143-149
18. Zhang S., Mathew J., Ma L., and Sun Y. Best basis-based intelligent machine fault diagnosis. Mechanical Systems and Signal Processing 19 (2005) 357-370
19. Yang H., Mathew J., and Ma L. Fault diagnosis of rolling element bearings using basis pursuit. Mechanical Systems and Signal Processing 19 (2005) 341-356
20. Liu B., Ling S.F., and Gribonval R. Bearing failure detection using matching pursuit. NDT & International 35 (2002) 255-262
21. Choudhury A., and Tandon N. Application of acoustic emission technique for the detection of defects in rolling element bearings. Tribology International 33 (2000) 39-45
22. Shiroishi J., Li Y., Liang S., Kurfess T., and Danyluk S. Bearing condition diagnostics via vibration and acoustic emission measurements. Mechanical Systems and Signal Processing 11 5 (1997) 693-705
23. N. Jamoludin, D. Mba, Monitoring extremely slow rolling element bearings-Part 1: NDT&E International 35 (2002) 349-358.
24. N. Jamoludin, D. Mba, Monitoring extremely slow rolling element bearings-Part 2: NDT&E International 35 (2002) 359-366.
25. Samanta B., and Al-Balushi K.R. Artificial neural network based fault diagnostics of rolling element bearings using time domain features. Mechanical Systems and Signal Processing 17 2 (2003) 317-328
26. Subrahmanyam M., and Sujatha C. Using neural networks for the diagnosis of localized defects in ball bearings. Tribology International 30 (1997) 739-752
27. Holm-Hansen B.T., and Gao R.X. Structural design and analysis for a sensor-integrated ball bearing. Finite Element Analysis and Design 34 (2000) 257-270
28. Ki{dotless}ral Z., and Karagülle H. Simulation and analysis of vibration signals generated by rolling element bearing with defects. Tribology International 36 (2003) 667-678
29. Ocak H., and Loparo K.A. Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data. Mechanical Systems and Signal Processing 18 (2004) 515-533
30. Jacobsen B. The Stribeck memorial lecture. Tribology International 36 (2003) 781-789
31. P. Norton, Peter Nortons guide to Visual Basic 6, Indiana: SAMS, A Division of Macmillan Computer Publishing, 1998.
32. M.H. Lawry, I-DEAS Master Series, Structural Dynamics Research Corporation Milford, OH, 1998.