Detection of Stator, Bearing and Rotor Faults in Induction Motors

被引：18

作者：

Ergin, Semih ^{[1
]}

Uzuntas, Arzu ^{[1
]}

Gulmezoglu, M. Bilginer ^{[1
]}

机构：

[1] Eskisehir Osmangazi Univ, Dept Elect & Elect Engn, TR-26480 Eskisehir, Turkey

来源：

INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND SYSTEM DESIGN 2011 | 2012年 / 30卷

关键词：

fault diagnosis; induction motors; Common Vector Approach; Discrete Wavelet Transform; wavelet energy component; DIAGNOSIS; ALGORITHM;

D O I：

10.1016/j.proeng.2012.01.969

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, faults in induction motors were diagnosed using the Common Vector Approach (CVA). In order to verify the performance of CVA, a database including stator current signals for normal and faulty cases with 1.5A loading condition was used. The current signals belong to six identical induction motors one of which is normal and remaining ones are faulty motors. The 2-step One-Dimensional Discrete Wavelet Transform (1D-DWT) is applied on the current signals in order to construct feature vectors of each class in the database. While performing CVA, the leave-30-out strategy was followed to test all feature vectors in the database. Substantially satisfactory recognition results were obtained for wavelet energy component-based features. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICCTSD 2011

引用

页码：1103 / 1109

页数：7

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