TY  - JOUR
T1  - Bearings Degradation Prediction by Vibration Analysis
AU - , Y. Benlalli AU - , A.E. Hadjadj 
JO  - Asian Journal of Information Technology
VL  - 6
IS  - 10
SP  - 991
EP  - 993
PY  - 2007
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2007.991.993
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2007.991.993
KW  - Bearing
KW  -vibrations
KW  -degradation
KW  -spectrum
KW  -curve tendency
AB  - 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.
ER  -