Multi-resolution wavelet analysis for detection of potential defects in motor bearings using vibration signals

S. Şeker*, A. Öztürk, E. Ayaz, B. R. Upadhyaya, A. H. Kayran

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This research, which is based upon bearing damage detection by the accelerated aging studies, presents a different fault diagnostic approach. In this sense, it is aimed to find potential defects, which exist in healthy motor bearings as manufacturing defects as compared to the faulty case. This approach extracts the origin of the bearing damage that develops during the aging process. In this manner, it can be introduced as a new approach for condition monitoring, especially in real-time studies.

Original languageEnglish
Title of host publicationProceedings of the Fourth IASTED International Conference on Circuits, Signals, and Systems, CSS 2006
Pages254-257
Number of pages4
Publication statusPublished - 2006
Event4th IASTED International Conference on Circuits, Signals, and Systems, CSS 2006 - San Francisco, CA, United States
Duration: 20 Nov 200622 Nov 2006

Publication series

NameProceedings of the Fourth IASTED International Conference on Circuits, Signals, and Systems, CSS 2006

Conference

Conference4th IASTED International Conference on Circuits, Signals, and Systems, CSS 2006
Country/TerritoryUnited States
CitySan Francisco, CA
Period20/11/0622/11/06

Keywords

  • Bearing damage
  • Bearing fluting
  • Fault detection
  • Wavelet analysis

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