Rotor Fault Diagnosis in a Squirrel-Cage Induction Machine Using Support Vector

被引：0

作者：

Hamdani, S. ^{[1
]}

Mezerreg, H. ^{[2
]}

Boutikar, B. ^{[2
]}

Lahcene, N. ^{[2
]}

Touhami, O. ^{[2
]}

Ibtiouen, R. ^{[2
]}

机构：

[1] USTHB Houari Boumedien Univ Sci & Technol, Elect & Ind Syst Lab, BP 32, El Alia 16111, Bab Ezzouar Alg, Algeria

[2] Res Lab Electrotech, El Alia 16200, Algeria

来源：

2012 XXTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM) | 2012年

关键词：

Induction machine; rotor faults; diagnosis; spectral analysis; classification; support vector machines; MOTORS;

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 paper deals with the diagnosis of electrical defects of Squirrel-Cage Rotor Induction Machines (IMs). The failures of induction machine and the diagnosis methods are presented. Among the methods, Motor Current Signature Analysis (MCSA) is used in the experimental study to detect broken rotor bars and end-ring segment. The load level and the load effects on the diagnosis are also studied. Support vector machines (SVM) is applied to classify faults.

引用

页码：1817 / 1822

页数：6

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