Effect of Speed and Torque on Statistical Parameters in Tapered Bearing Fault Detection

Authors: Sylvester A. Aye, Philippus S. Heyns

Abstract:

The effect of the rotational speed and axial torque on the diagnostics of tapered rolling element bearing defects was investigated. The accelerometer was mounted on the bearing housing and connected to Sound and Vibration Analyzer (SVAN 958) and was used to measure the accelerations from the bearing housing. The data obtained from the bearing was processed to detect damage of the bearing using statistical tools and the results were subsequently analyzed to see if bearing damage had been captured. From this study it can be seen that damage is more evident when the bearing is loaded. Also, at the incipient stage of damage the crest factor and kurtosis values are high but as time progresses the crest factors and kurtosis values decrease whereas the peak and RMS values are low at the incipient stage but increase with damage.

Keywords: crest factor, damage detection, kurtosis, RMS, tapered roller bearing.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329222

References:

[1] R. Rubini and U. Meneghetti, "Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings", Mechanical Systems and Signal Processing, 2001, vol. 15 no. 2, pp. 287- 302.
[2] Z. Kiral, H. Karag├╝lle, "Simulation and analysis of vibration signals generated by rolling element bearing with defects", Tribology International vol. 36, 2003, pp. 667-678.
[3] M. Subrahmanyam, C. Sujatha, "Using neural networks for the diagnosis of localized defects in ball bearings" Tribology International vol. 30, 1997, pp. 739-752.
[4] T.I. Liu, J.M. Mengel, "Intelligent monitoring of ball bearing conditions", Mechanical System Signal Processing, vol. 6, 1992, pp. 419-431.
[5] A. Choudhury, N. Tandon, "Application of acoustic emission technique for the detection of defects in rolling element bearings", Tribology International, vol. 33, 2000, pp. 39-45.
[6] N.G. Nikolaou, I.A. Antoniadis, "Rolling element bearing fault diagnosis using wavelet packets", NDT&E International, vol. 35, 2002, pp. 197-205.
[7] P.W. Tse, Y.H. Peng, R. Yam, "Wavelet analysis and envelope detection for rolling element bearing fault diagnosis-their effectiveness and flexibilities" Journal Vibration and Acoustics, , vol. 1 no. 23, 2001, pp. 303-310.
[8] X. Lou, K.A. Loparo, F.M. Discenzo, J. Yoo, A. Twarowski, "A wavelet-based technique for bearing diagnostics", International Conference on Acoustics, Noise and Vibration, 2000 Aug 8-12; Montreal, Quebec, Canada.
[9] P.D. McFadden, J.D. Smith, "Vibration monitoring of rolling element bearings by the high-frequency resonance techniqueÔÇöa review" Tribology International, vol. 17, 1984, pp. 3-10.
[10] H.R. Martin, F. Honarvar, "Application of statistical moments to bearing failure detection" Applied Acoustics, vol. 44, 1995, pp. 67-77.
[11] J. Mathew, R.J.Alfredson, "The condition monitoring of rolling element bearings using vibration analysis" Journal Vibration Acoustic Stress", 1984.
[12] Y-T. Su, S-J. Lin, "On initial fault detection of a tapered roller bearing: frequency domain analysis", Journal Sound Vibration, vol. 155, 1992, pp. 75-84.
[13] N. Tandon, A. Choudhury, 1999. "A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings", Tribology International, vol. 32, 1999, pp. 469-480.
[14] P.J. Dempsey, J.M. Certo, R.F. Handschuh, and F. Dimofte, "Hybrid bearing prognostic test rig" NASA TM-2005-213597, 2005.