Comparative study of two diagnosis methods for induction machine

被引：0

作者：

Ondel, O ^{[1
]}

Yazidi, A ^{[1
]}

Boutleux, E ^{[1
]}

Clerc, G ^{[1
]}

Henao, H ^{[1
]}

Casimir, R ^{[1
]}

Capolino, GA ^{[1
]}

机构：

[1] Ecole Cent Lyon, Ctr Genie Elect Lyon, F-69134 Ecully, France

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), VOLS. 1- 3 | 2004年

关键词：

induction machine; rotor fault; pattern recognition; leakage flux;

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：

Intensive research efforts have been focused on the Signature Analysis (SA) to detect electrical and mechanical fault condition of induction machines. Different signals can be used: voltage, current, flux and power. This paper is a comparative analysis of two different diagnosis methods that are used to detect and localize failures in induction motors. The first one is based on leakage flux measurement and the second one is a diagnosis method based on current, electrical power measurement and pattern recognition. A synthesis of two methods will be developed. It mainly concerns rotor faults.

引用

页码：159 / 165

页数：7

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