@inproceedings{be3827d4fa174034a902fbb4e5d8e1b7,
title = "Stationary wavelet transform for fault detection in rotating machinery",
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.",
keywords = "Bearing damage, Bearing fluting, Fault detection, Stationary wavelet transform",
author = "Serhat Seker and Erinc Karatoprak and Kayran, {A. H.} and Tayfun Senguler",
year = "2007",
doi = "10.1117/12.735537",
language = "English",
isbn = "9780819469236",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Wavelet Applications in Industrial Processing V",
note = "Wavelet Applications in Industrial Processing V ; Conference date: 11-09-2007 Through 12-09-2007",
}