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

Seker S., Ozturk A., Ayaz E., Upadhyaya B. R., Kayran A. H.

4th IASTED International Conference on Circuits, Signals, and Systems, San-Francisco, Costa Rica, 20 - 22 November 2006, pp.254-255 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • City: San-Francisco
  • Country: Costa Rica
  • Page Numbers: pp.254-255
  • Keywords: wavelet analysis, fault detection, bearing damage, bearing fluting, STATOR CURRENT, DAMAGE
  • Istanbul Technical University Affiliated: Yes


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.