Diagnosis of Broken Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation

被引：0
|
作者：
Kia, Shahin Hedayati [1 ]
Henao, Humbero [1 ]
Capolino, Gerard-Andre [1 ]
机构：
[1] Univ Picardie Jules Verne, Dept Elect Engn, F-80039 Amiens 1, France
来源：
CONFERENCE RECORD OF THE 2007 IEEE INDUSTRY APPLICATIONS CONFERENCE FORTY-SECOND IAS ANNUAL MEETING, VOLS. 1-5 | 2007年
关键词：
Fault diagnosis; Induction motors; Wavelet transform;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The aim of this paper is to present a wavelet-based method for broken bar fault detection in induction machines. The frequency-domain methods which are commonly used need speed information or accurate slip estimation for frequency components localization in any spectrum. Nevertheless, the fault frequency bandwidth can be well defined for any induction machine due to numerous previous investigations. The proposed approach consists in the energy evaluation of this known bandwidth with time-domain analysis using the discrete wavelet transform (DWT). Then, it has been applied to the stator current space vector magnitude and the instantaneous magnitude of the stator current signal for different broken bar fault severities and load levels.
引用
收藏
页码：1917 / 1922
页数：6
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