An Improvement of Stator Current Based Detection of Bearing Fault in Induction Motors

被引：0

作者：

Sun Liling ^{[1
]}

Xu Boqiang ^{[1
]}

机构：

[1] N China Elect Power Univ Baoding, Sch Elect Engn, Baoding, Peoples R China

来源：

CONFERENCE RECORD OF THE 2007 IEEE INDUSTRY APPLICATIONS CONFERENCE FORTY-SECOND IAS ANNUAL MEETING, VOLS. 1-5 | 2007年

关键词：

bearing fault; detection; induction motor; Fourier transform; filter; slip estimation;

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：

This paper develops an improved stator current based detection scheme for bearing fault in induction motors. Firstly, experiments of bearing fault are performed. Secondly, by thoroughly analyzing the experiment results, a series of interesting highlights, which could help improve the sensitivity and reliability of stator current based detection of bearing fault in actual field, are revealed clearly. Finally, an improved stator current based detection scheme, which perfectly blends subdivision Fourier transform, self-adaptive filter and rotor slot harmonies based slip estimation techniques together, is proposed. Fault detection instances in laboratory demonstrate that the presented scheme is effective.

引用

页码：2277 / 2281

页数：5

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