Analysis of Effects of Increase in Defect Size on Vibration of a Ball Bearing
| International Journal of Mechanical Engineering |
| © 2022 by SSRG - IJME Journal |
| Volume 9 Issue 10 |
| Year of Publication : 2022 |
| Authors : Onkar D. Rathodkar, Prashant H. Jain |
10.14445/23488360/IJME-V9I10P101
How to Cite?
Onkar D. Rathodkar, Prashant H. Jain, "Analysis of Effects of Increase in Defect Size on Vibration of a Ball Bearing," SSRG International Journal of Mechanical Engineering, vol. 9, no. 10, pp. 1-11, 2022. Crossref, https://doi.org/10.14445/23488360/IJME-V9I10P101
Abstract:
Bearings are an important part of any rotating or oscillating machinery that supports the rotating or oscillating parts of machinery. This work presents the use of vibration signal analysis techniques, including time-domain analysis and envelope spectrum analysis, to identify bearing defects and their severity. In this work, MATLAB codes are developed to process the vibration signals developed by the normal and defective bearings and to extract the important time-domain statistical parameters, frequency spectrums and envelope spectrums from the bearings running at different speeds. To study the effects of speed, bearing defects and their sizes on vibration responses, the vibration data uploaded by Case Western Reserve University on their website for different types of bearings are used. This work compares the vibration responses of good and defective bearings using different time-domain statistical parameters. Also, the effects of the bearing defects and increase in defect sizes on vibration signals are analyzed. The results show the behavior of statistical indicators for different shaft speeds, different types of bearing defects and increase in defect size. These indicators differentiate defective bearings from normal bearings. This study of the behavior of different time-domain statistical indicators for change in speed, defect type and defect size will be useful for the vibration analyst working in the maintenance department.
Keywords:
Time-domain statistical indicators, Frequency spectrum, Envelope spectrum, Vibration signal analysis.
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