This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Vibration Signature Analysis of Needle Bearings
Annotation ability available
Sector:
Language:
English
Abstract
Many signature analysis techniques have been developed for detecting bearing damage. In this paper, a number of these techniques are evaluated and their abilities to detect and trend damage are compared quantitatively. Needle bearings are used for this evaluation because they are noisier than ball bearings, and there has been little published regarding their vibration behavior. The signature analysis techniques are evaluated using three increasing levels of outer race damage. The evaluation criteria are based on the ability of a technique to repeatedly detect a damaged bearing and to correctly trend the damage progression. Results show that a number of time and frequency domain techniques correctly identify and trend the bearing damage. Of these techniques, the matched-filter root-mean-square (Mfrms) technique applied to an enveloped (smoothened) signal consisently showed high sensitivity to bearing damage and its progression.
Recommended Content
Technical Paper | EFFECT OF LOADING SYSTEMS AND VIBRATION ON BEARING LIFE |
Technical Paper | Effect of Noise Factors on Seizure Limit Performance in Engine Main Bearings |
Technical Paper | The Study of DC Motor Noise and Vibration |
Authors
Citation
Campbell, C. and Tavakoli, M., "Vibration Signature Analysis of Needle Bearings," SAE Technical Paper 961015, 1996, https://doi.org/10.4271/961015.Also In
References
- Alfredson R. J. Mathew J. 1985 “Frequency Domain Methods for Monitoring the Condition of Rolling Element Bearings” Transactions of the Institution of Engineers. Australia, Mechanical Engineering 10 2 108 112
- Alfredson R. J. Mathew J. 1985 “Time Domain Methods for Monitoring the Condition of Rolling Element Bearings” Transactions of the Institution of Engineers. Australia. Mechanical Engineering 10 2 102 107
- Burchill Richard F. 1973 “Resonant Structure Techniques for Bearing Fault Analysis” National Bureau of Standards NBSIR 73 252
- Campbell Craig M. 1992 “Signature Analysis Techniques for Needle Bearing Defect Detection” master's thesis George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology
- Darlow Mark S. Badgley Robert H. 1975 “Early Detection of Defects in Rolling-Element Bearings” SAE paper 750209 Automotive Engineering Congress and Exposition Detroit, Michigan February 24-28 1 12
- Dyer D. Stewart R. M. 1978 “Detection of Rolling Element Bearing Damage by Statistical Vibration Analysis” ASME Journal of Mechanical Design 100 April 229 235
- Gustafsson O. G. Tallian T. 1962 “Detection of Damage in Assembled Rolling Element Bearings” ASLE Transactions 5 197 209
- Smith K. A. 1973 “Crest Factor Analysis for Rolling Element Bearings” National Bureau of Standards NBSIR 73 252