Feature extraction related to bearing damage in electric motors by wavelet analysis


Seker S. , Ayaz E.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, vol.340, no.2, pp.125-134, 2003 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 340 Issue: 2
  • Publication Date: 2003
  • Doi Number: 10.1016/s0016-0032(03)00015-2
  • Title of Journal : JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
  • Page Numbers: pp.125-134

Abstract

The purpose of this paper is to extract features from vibration signals measured from motors subjected to accelerated bearing fluting aging and to detect the effects of bearing fluting at each aging cycle of induction motors. This trending of bearing degradation is achieved by monitoring the changes in the vibration signals at various sub-band levels. This is accomplished by the application of wavelet transforms and multi-resolution analysis in order to extract information from selected frequency bands with minimum signal distortion. (C) 2003 The Franklin Institute. Published by Elsevier Science Ltd. All rights reserved.