S. Şeker, A. Öztürk, E. Ayaz (Turkey), B.R. Upadhyaya (USA), and A.H. Kayran (Turkey)
Wavelet analysis, fault detection, bearing damage, bearing fluting
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.
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