Stationary wavelet transform for fault detection in rotating machinery

Serhat Seker; Erinc Karatoprak; A. H. Kayran; Tayfun Senguler

doi:10.1117/12.735537

2 October 2007 Stationary wavelet transform for fault detection in rotating machinery

Serhat Seker, Erinc Karatoprak, A. H. Kayran, Tayfun Senguler

Proceedings Volume 6763, Wavelet Applications in Industrial Processing V; 67630A (2007) https://doi.org/10.1117/12.735537
Event: Optics East, 2007, Boston, MA, United States

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.

Citation Download Citation

Serhat Seker, Erinc Karatoprak, A. H. Kayran, and Tayfun Senguler "Stationary wavelet transform for fault detection in rotating machinery", Proc. SPIE 6763, Wavelet Applications in Industrial Processing V, 67630A (2 October 2007); https://doi.org/10.1117/12.735537

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