Eksenel rulmanların deneysel hata analizi

Ball bearings are the most commonly used bearing elements in machines. For the healthy and long term operations of the machine, it is closely related to conditions of the ball bearings. Therefore, early detection of the failures in ball bearings is very crucial for machine health. In this study, analysis of failure in thrust ball bearings is discussed by using experimental vibration signals. In the experimental setup, various defects have been created on the raceway of thrust ball bearing ring. Vibration measurements have been taken in the horizontal, vertical and axial directions from the close points in the test setup, in order to see defected and healthy situations under different rotate speeds and two different axial load. Time waveform and frequency spectrum graphs were generated from the data of vibration measurements. Defect analyzes have been performed for raw and filtered signals by using statistical indicators as peak to peak, root mean square, crest factor and kurtosis which are calculated for vibration data. It has been shown that the defects on the thrust ball bearing ring can be determined by analyzing the vibration data in time and frequency domains.