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Proceedings Paper

Stationary wavelet transform for fault detection in rotating machinery
Author(s): Serhat Seker; Erinc Karatoprak; A. H. Kayran; Tayfun Senguler
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Paper Abstract

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.

Paper Details

Date Published: 2 October 2007
PDF: 8 pages
Proc. SPIE 6763, Wavelet Applications in Industrial Processing V, 67630A (2 October 2007); doi: 10.1117/12.735537
Show Author Affiliations
Serhat Seker, Istanbul Teknik Üniv. (Turkey)
Erinc Karatoprak, Istanbul Teknik Üniv. (Turkey)
A. H. Kayran, Istanbul Teknik Üniv. (Turkey)
Tayfun Senguler, Istanbul Teknik Üniv. (Turkey)

Published in SPIE Proceedings Vol. 6763:
Wavelet Applications in Industrial Processing V
Frédéric Truchetet; Olivier Laligant, Editor(s)

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