Analysis of Defective Bearings
M. Rajasekhar1, T. Prasanth2, M. Yasheel3, N. Rufus4
1Dr. M. Rajasekhar, Department of Mechanical Engineering, GIT, Gandhi Institute of Technology and Management, Visakhapatnam (A.P), India.
2T. Prasanth, Department of Mechanical Engineering, GIT, Gandhi Institute of Technology and Management, Visakhapatnam (A.P), India.
3M. Yasheel, Department of Mechanical Engineering, GIT, Gandhi Institute of Technology and Management, Visakhapatnam (A.P), India.
4N. Rufus, Department of Mechanical Engineering, GIT, Gandhi Institute of Technology and Management, Visakhapatnam (A.P), India.
Manuscript received on 24 September 2018 | Revised Manuscript received on 30 September 2018 | Manuscript published on 30 November 2018 | PP: 327-329 | Volume-7 Issue-4, November 2018 | Retrieval Number: E1853017519©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Rolling element bearings are widely used as low friction joints between rotating machine components. A small defect either on raceway or the ball may occur while installation or any other process should be detected. If not detected in time, the defect forms a fatigue and increases upon working, decreasing the life time of bearing and leads to malfunctioning of the machine components. This research work is mainly focused on the frequency of vibrations produced by the bearings with different faults and gives the comparison between vibrational frequency of different faulty bearings and healthy bearing. The results of this experiment are interpreted to shoot out the defect in the bearing, which is helpful in finding the fault in the bearing element without dismantling the machine with reference to the frequency graphs.
Keywords: If Not Detected In Time, The Defect Forms A Fatigue And Increases Upon Working,
Scope of the Article: Predictive Analysis