Stationary wavelet transform for fault detection in rotating machinery - art. no. 67630A

Seker S., Karatoprak E., Kayran A. H., Senguler T.

Conference on Wavelet Applications in Industrial Processing V, Massachusetts, United States Of America, 11 - 12 September 2007, vol.6763 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 6763
  • Doi Number: 10.1117/12.735537
  • City: Massachusetts
  • Country: United States Of America
  • Keywords: stationary wavelet transform, fault detection, bearing damage, bearing fluting, BEARING DAMAGE, STATOR CURRENT, MOTORS
  • Istanbul Technical University Affiliated: Yes


This research presents a different fault diagnostic approach using the Stationary Wavelet Transform (SWT) as an alternative method to Discrete Wavelet Transform (DWT). 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, the advantage of the SWT over the DWT is emphasized. Hence, it can be introduced as a new approach for condition monitoring studies in rotating machineries like the induction motors.