DETECTION OF BEARING FAULT USING VIBRATION ANALYSIS AND CONTROLLING THE VIBRATIONS

In today’s world we were more concerned with reducing the cost of failure and maintenance in any industry as per schedules of each machine and determined by the exact running condition of each major machinery components used in industries like power plants, chemical plants and automotive industries that require precise and efficient performance. Condition monitoring of these machine components like bearings, shafts and shaft mountings and installation of machine was important to avoid failures. Several techniques were available and vibration monitoring was one of them. Vibration monitoring and analysis was one such tool that can be used for determining the condition of a rotating machine and its analysis. Vibration analysis gets much advantage in factories as a predictive maintenance technique. In this study, vibration response of the rolling bearings to the defects on outer race, inner race and the rolling elements is obtained and analyzed. It shows that every defect excites the system at its characteristic frequency. The location of the faults is indicated by the FFT spectrum. Defects are indicated at motor and fan both bearings in horizontal direction. In situ dynamic balance was implemented by adding weight to reduce rate of vibrations. The results reveal that vibration based monitoring method is successful in detecting the faults in the bearing.