Multiple defects detection in outer race of gearbox ball bearing using time domain statistical parameters

International Journal of Vehicle Structures and Systems

Volumn 8, Issue 3, 2016, Pages 167-174

  Nabhan, A ^a   Nouby, M ^b   Sami, A M ^a   Mousa, M O ^a  

^a Minia University   (Egypt)

^b South Valley of University   (Egypt)

Author keywords

Ball bearing; Crest factor; Gearbox; Kurtosis; Root mean square; Skewness; Vibration analysis

Indexed keywords

BALL BEARINGS; DEFECTS; GEARS; HIGHER ORDER STATISTICS; NUMERICAL METHODS; STATISTICAL METHODS; TIME DOMAIN ANALYSIS; VIBRATION ANALYSIS;

CREST FACTORS; GEARBOX; KURTOSIS; ROOT MEAN SQUARE; SKEWNESS;

DEEP GROOVE BALL BEARINGS;

EID: 85011556665     PISSN: 09753060     EISSN: 09753540     Source Type: Journal    
DOI: 10.4273/ijvss.8.3.09     Document Type: Article

References (31)

1. Y.T. Sheen. 2004. A complex filter for vibration signal demodulation in bearing defect diagnosis, J. Sound and Vibration, 276, 105-119. http://dx.doi.org/10.1016/j.jsv.2003.08.007.
2. H. Ocak and K.A. Loparo. 2004. Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data, Mechanical Systems and Signal Processing, 18, 515-533. http://dx.doi.org/10.1016/S0888-3270(03)00052-9.
3. S. Janjarasjitta, H. Ocak and K.A. Loparo. 2008. Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal, J. Sound and Vibration, 317, 112-126. http://dx.doi.org/10.1016/j.jsv.2008.02.051.
4. B. Muruganatham, M.A. Sanjith, B. Krishnakumar and S.A.V. Satya Murtyk. 2013. Roller element bearing fault diagnosis using singular spectrum analysis, Mechanical Systems and Signal Processing, 35, 150-166. http://dx.doi.org/10.1016/j.ymssp.2012.08.019.
5. M.S. Patil, J. Mathew, P.K. Rajendrakumar and S. Desai. 2011. A theoretical mode to predict the effect of localized defect on vibrations associated with ball bearing, Int. J. Mechanical Sciences, 52, 1193-1201. http://dx.doi.org/10.1016/j.ijmecsci.2010.05.005.
6. A. Rafsanjania, S. Abbasion, A. Farshidianfar and H. Moeenfard. 2009. Nonlinear dynamic modeling of surface defect sin rolling element bearing systems, J. Sound and Vibration, 319, 1150-1174. http://dx.doi.org/10.1016/j.jsv.2008.06.043.
7. Z. Kiral. 2002. Simulation and Analysis of Vibration Signals Generated by Rolling Element Bearings with Defects, PhD Thesis, The University of Izmir, Turkey.
8. J. Liu, Y. Shao and T.C. Lim. 2012. Vibration analyses of ball bearings with a localized defect applying piecewise response function, Mechanism and Machine Theory, 56, 156-169. http://dx.doi.org/10.1016/j.mechmachtheory.2012.05.008.
9. H. Cao, L. Niu and Z. He. 2012. Method for vibration response simulation and sensor placement optimization of a machine tool spindle system with a bearing defect, Sensors, 12, 8732-8754. http://dx.doi.org/10.3390/s120708732.
10. P. Kadarno and Z. Taha. 2008. Vibration Analysis of Defected Ball Bearing using Finite Element Model Simulation, Proc. 9th Asia Pasific Industrial Engg. & Management Systems Conf.
11. Z. Taha and N.T. Dung. 2010. Rolling element bearing fault detection with a single point defect on the outer raceway using FEA, Proc. 11th Asia Pacific Industrial Engg. & Management Systems Conf.
12. Z. Kiral and H. Karagulle. 2003. Simulation and analysis of vibration signals generated by rolling element bearing with defects, Tribology Int., 36, 667-678. http://dx.doi.org/10.1016/S0301-679X(03)00010-0.
13. T. Karacay and N. Akturk. 2009. Experimental diagnostics of ball bearings using statistical and spectral methods, Tribology Int., 42, 836-843. http://dx.doi.org/10.1016/j.triboint.2008.11.003.
14. Y.H. Kim, A.C.C. Tan, J. Mathew and B.S. Yang. 2006. Condition monitoring of low speed bearings: A comparative study of the ultrasound technique versus vibration measurements, Proc. WCEAM.
15. M. Amarnath, R. Shrinidhi, A Ramachandra and S.B. Kandagal. 2004. Prediction of defects in antifriction bearings using vibration signal analysis, IE (I) J.-MC.
16. M.S. Johnson Jr. 2000. Vibration tests for bearing wear, ASHRAE J.
17. V.N. Patel, N. Tandon and R.K. Pandey. 2012. Defect detection in deep groove ball bearing in presence of external vibration using envelope analysis and duffing oscillator, Measurement, 45, 960-970. http://dx.doi.org/10.1016/j.measurement.2012.01.047.
18. Y.T. Sheen. 2010. An envelope analysis based on the resonance modes of the mechanical system for the bearing defect diagnosis, Measurement, 43, 912-934. http://dx.doi.org/10.1016/j.measurement.2010.03.011.
19. U.A. Patel and S. Rajkamal. 2012. Vibrational analysis of self align ball bearing having a local defect through FEA and its validation through experiment, Int. J. Modern Engg. Research, 2, 1073-1080.
20. V.N. Patel, N. Tandon and R.K. Pandey. 2014. Vibrations generated by rolling element bearings having multiple local defects on races, Procedia Technology, 14, 312-319. http://dx.doi.org/10.1016/j.protcy.2014.08.041.
21. C.J. Li and J. Ma. 1997. Wavelet decomposition of vibrations for detection of bearing-localized defects, NDT & E Int., 30, 143-149. http://dx.doi.org/10.1016/S0963-8695(96)00052-7.
22. S. Prabhakar, A.R. Mohanty and A. S Sekhar. 2002. Application of discrete wavelet transform for detection of ball bearing race faults, Tribology Int., 35, 793-800. http://dx.doi.org/10.1016/S0301-679X(02)00063-4.
23. R. Kumar and M. Singh. 2013. Outer race defect width measurement in taper roller bearing using discrete wavelet transform of vibration signal, Measurement, 46, 537-545. http://dx.doi.org/10.1016/j.measurement.2012.08.012.
24. V. Purushotham, S. Narayanan and S.A.N. Prasad. 2005. Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition, NDT & E Int., 38, 654-664. http://dx.doi.org/10.1016/j.ndteint.2005.04.003.
25. S. Khanam, N. Tandon and J.K. Dutt. 2014. Fault size estimation in the outer race of ball bearing using discrete wavelet transform of the vibration signal, Proc. Tech., 14, 12-19. http://dx.doi.org/10.1016/j.protcy.2014.08.003.
26. N.G. Nikolaou and I.A. Antoniadis. 2002. Rolling element bearing fault diagnosis using wavelet packets, NDT & E Int., 35, 197-205. http://dx.doi.org/10.1016/S0963-8695(01)00044-5.
27. Y. Li. 2006. Online Condition Monitoring of Rolling Element Bearings, MSc Thesis, The University of Waterloo, Canada.
28. J. Zarei and J. Poshtan. 2007. Bearing fault detection using wavelet packet transform of induction motor stator current, Tribology Int., 40, 763-769. http://dx.doi.org/10.1016/j.triboint.2006.07.002
29. D.P. Jena and S.N. Panigrahi. 2012. Bearing and gear fault diagnosis using adaptive wavelet transform of vibration signals, Proc. Engg., 50, 265-274.
30. D.P. Jena and S.N. Panigrahi. 2014. Precise measurement of defect width in tapered roller bearing using vibration signal, Measurement, 55, 39-50. http://dx.doi.org/10.1016/j.measurement.2014.04.023.
31. T.A. Harris and M.N. Kotzalas. 2006. Essential Concepts of Bearing Technology, 5th Edition, Taylor & Francis.