Experimental study on fault detection in roller bearing used in rolling mill industry

Abstract

Rolling element bearings are extremely important components of rotating machines, and bearing defects can cause machines to fail. As a result, early detection of such defects, as well as the severity of damage while the bearing is in operation, may help to prevent machine malfunction and breakdown. Vibration is produced by defective bearings when no. of passes are increases to reduce down the thickness of raw materials and these vibration signals can be used to diagnose the problem. This article provides a summary of recent developments in bearing defect studies, as well as sources of vibration and vibration measurement methods in the time, frequency, and time frequency domains. An experimental setup has been established in this paper to determine roller bearing faults. The fault evaluation progress is extracted using the signal processing method. The results are presented as time series and FFT plots. Misalignment fault, Indentation event, Smoothened dent, Defects, and Damage growth state are the five-wear fault assessment events examined. The test lasts 480 hours and takes place at temperatures ranging from 68 to 78 degrees Celsius. After 480 hours of testing, it was discovered that the roller bearing is damaged due to a high wear rate, with amplitude of acceleration in the frequency domain of 32.51 m/s2 at fifth event. The amplitude of acceleration in the frequency domain is also found to be greater than the critical value of 30 m/s2. As a result, the state of the roller bearing after 480 hours is the damage growth state.