A Magnetic Leakage Flux-Based Approach for Fault Diagnosis in Electrical Machines

被引：30

作者：

Ghanbari, Teymoor ^{[1
]}

Farjah, Amin ^{[2
]}

机构：

[1] Shiraz Univ, Sch Adv Technol, Shiraz 7134851154, Iran

[2] Shiraz Univ, Sch Elect & Comp Engn, Shiraz 7134851154, Iran

来源：

IEEE SENSORS JOURNAL | 2014年 / 14卷 / 09期

关键词：

Electrical machine; flux leakage; fault diagnosis; harmonic content; rogowski search coil (RSC); INDUCTION-MOTORS; STATOR FAULT; BROKEN BARS; SENSOR;

D O I：

10.1109/JSEN.2014.2319175

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：

Fault diagnosis in electric machines can be accomplished by analyzing the anomalies in magnetic leakage flux. In order to achieve a desired performance from the leakage flux-based fault diagnosis approaches, an accurate monitoring system and a suitable algorithm are required. In this paper, a high precision Rogowski search coil is utilized for accurate monitoring of electric machine leakage flux. In addition, a simple fault diagnosis technique based on harmonic content of the measured signal is suggested. Performance of the technique is evaluated by some experiment tests.

引用

页码：2981 / 2988

页数：8

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