EXPERIMENTAL STUDY BASED ON ACOUSTIC EMISSION AND VIBRATION SIGNALS TO DETECT THE PRESENCE OF DEFECTS IN A ROLLING ELEMENT BEARING

Hazim Alsadoon, Sedat Baysec, Necle Togun

Abstract


In this research, acoustic emission and vibration technology was used to detect defects in the rolling elements bearings, using statistical techniques to analyze the time domain signal. To extract the well-established statistical parameters, Such as the  RMS, peak level, crest factor and other features including kurtosis and skewness. This experimental study focused on the analysis of acoustic emission signals and acceleration to determine the presence of defects in the radially loaded bearing.  A defect of a certain size was seeded in the inner race and outer race of the test bearings. The results reveal that the AE technology is more effective in detecting bearings faults than that of the vibration measurement, especially in the low frequency range

Keywords


Acoustic emission, Bearing defect, Vibration, Condition monitoring.

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References


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