@inproceedings{b846c5d7640142b7bb0f4b9c1d6e0afa,
title = "Multi-resolution wavelet analysis for detection of potential defects in motor bearings using vibration signals",
abstract = "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.",
keywords = "Bearing damage, Bearing fluting, Fault detection, Wavelet analysis",
author = "S. {\c S}eker and A. {\"O}zt{\"u}rk and E. Ayaz and Upadhyaya, {B. R.} and Kayran, {A. H.}",
year = "2006",
language = "English",
isbn = "9780889866072",
series = "Proceedings of the Fourth IASTED International Conference on Circuits, Signals, and Systems, CSS 2006",
pages = "254--257",
booktitle = "Proceedings of the Fourth IASTED International Conference on Circuits, Signals, and Systems, CSS 2006",
note = "4th IASTED International Conference on Circuits, Signals, and Systems, CSS 2006 ; Conference date: 20-11-2006 Through 22-11-2006",
}