Vibration and Acoustics Research Journal (VARJ)

Research Article

Selection of Mother Wavelet for Fault detection of cylindrical bearing

Umang Parmar and Divyang H. Pandya

Mechanical Engineering Department, LDRP Institute of Technology and Research, Gandhinagar, Gujarat 382015, India.

Submitted: May 2, 2020; Revised July 22, 2020; Accepted: December 15, 2020

Abstract

Bearings are a very essential part of any of the machine and their reliability affects the performance. Continuous monitoring of the machine includes the monitoring of the bearing for its failure. This paper aims to detect a fault in cylindrical bearing with the use of signal processing when it is in use. Experimental data for healthy as well as for defective bearings are collected for investigation. Wavelet analysis provides time-frequency domain study together and for that finding out best suitable wavelet is most important. By use of relative energy concept and maximum energy to Shannon entropy ratio, it is identified that out of selected wavelets, symlet 2 gives the best result in terms of mother wavelet as a selection. Further to verify the results FFT diagram is generated for without symlet 2 wavelet and with symlet 2 wavelet and compared for the investigation regarding bearing fault.

Keywords

Mother Wavelet; Signal Processing; Bearing; Fault Diagnosis.

Downlaod Full Text >>