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

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.

Authors:

• Sylvester A. Aye
• Philippus S. Heyns

Keywords:

• crest factor
• damage detection
• kurtosis
• RMS
• tapered roller bearing.

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.