Multi-resolution wavelet analysis for detection of potential defects in motor bearings using vibration signals

被引：0

作者：

Seker, S. ^{[1
]}

Ozturk, A. ^{[1
]}

Ayaz, E. ^{[1
]}

Upadhyaya, B. R. ^{[2
]}

Kayran, A. H. ^{[1
]}

机构：

[1] Istanbul Tech Univ, Elect & Elect Engn Fac, TR-34469 Istanbul, Turkey

[2] Univ Tennessee, Dept Nucl Engn, Knoxville, TN 37996 USA

来源：

PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON CIRCUITS, SIGNALS, AND SYSTEMS | 2006年

关键词：

wavelet analysis; fault detection; bearing damage; bearing fluting;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：254 / +

页数：2

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