Fault Identification on a Bearing Component of a Rotating Machine Using Vibration Spectrum Analysis
Keywords:Vibration, Fault Identification, Bearings, Signal Spectrum, Condition Monitoring
This paper presents an analysis of the vibration behavior of a rotating machine based on the signal spectrum for detecting localized defects in rotating bearings. This approach can extract the characteristic frequencies related to the defect from the resonant frequency band of the vibration signal. The technique is demonstrated on a machine tool with ball bearings (bearing number “2” and bearing number “4”) under a simulated crack on the bearing cage. Experimental results show some preliminary evidence that the vibration spectrum technique can be used to locate and predict the failure of rotating machine rolling element bearings from vibration data.
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Copyright (c) 2021 KT Aminu, B D Halilu, D Y Dabs, M A Sule, S U Ibrahim
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