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

Serhat Seker*, Emine Ayaz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

91 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)125-134
Number of pages10
JournalJournal of the Franklin Institute
Volume340
Issue number2
DOIs
Publication statusPublished - Mar 2003

Keywords

  • Bearing damage
  • Induction motor
  • Multi-resolution analysis
  • Wavelet

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