Wavelet Transform Application For Detection of Bearing Fault

EasyChair Preprint no. 300

Abstract

This paper presents the application of the Wavelet transform for detection of bearing fault. Previously collected signal data is used to analyze the process.   [6] The intended fault is  created artificially on outer ring of cylindrical roller bearing. The vibration data is collected while bearing was rotating at a certain speed and under balance. Various signal processing techniques like time and frequency domain analysis, Fourier transform, Wavelet transform, Envelope analysis are applied on vibration data.  Then after the evaluated results for healthy and faulty bearings are compared for detection the existence of fault and its location. Very accurate  and concrete results are obtained successfully.

Keyphrases: Envelope analysis, Fourier transform signal processing, Wavelet transform bearing

@Booklet{EasyChair:300,
  author = {Erol Uyar and Burak Yeşilyurt and Musa Alcı},
  title = {Wavelet Transform Application For Detection of Bearing Fault},
  howpublished = {EasyChair Preprint no. 300},
  doi = {10.29007/g5px},
  year = {EasyChair, 2018}}