Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
This research relates to the major problem of the excessive consumption of the bearings. In fact, we are obliged as long as maintenicians to seek the cause and to find the solution to decrease these failures.Knowing that approximately 66% of the problems which can bring back a bearing to a state of incapacity to achieve its mission, such as the bad assembly, bad lubrication as well as pollution, are carried even to the not qualified agents of maintenance. Thus this study presents a study on the monitoring of the bearings by vibration analysis. The vibration is physical phenomena used to highlight degradation or malfunctions of a revolving machine and give a better measurement of its state. The early detection of a bearing is highlighted by the use of an indicator of statistical defect frequencies which is the spectrum and also the curve of tendency. This approach makes it possible to develop a new form of conditional maintenance.
How to cite this article:
Y. Benlalli and A.E. Hadjadj . Bearings Degradation Prediction by Vibration Analysis.
DOI: https://doi.org/10.36478/ajit.2007.991.993
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2007.991.993