Broken Bar Fault Diagnosis for Induction Machines under Load Variation Condition using Discrete Wavelet Transform

被引：8

作者：

Shi, Pu ^{[1
]}

Chen, Zheng ^{[1
]}

Vagapov, Yuriy ^{[1
]}

Davydova, Anastasia ^{[2
]}

Lupin, Sergey ^{[2
]}

机构：

[1] Glyndwr Univ, Mold Rd, Wrexham LL11 2AW, Wales

[2] Natl Res Univ Elect Technol, Moscow 124498, Russia

来源：

2014 IEEE EAST-WEST DESIGN & TEST SYMPOSIUM (EWDTS) | 2014年

关键词：

ROTOR BARS; MOTORS;

D O I：

10.1109/EWDTS.2014.7027059

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper presents a new approach for detection of broken rotor bar fault in squirrel cage induction motors operating under varying load conditions. A mathematical model used in the presented method was developed using winding function approach to provide indication references for induction motor parameters under load variation. The model shows a strong relationship between broken rotor bar fault and stator current. The method is based on analysis of stator current using discrete wavelet transform. To verify the proposed method a squirrel cage induction motor with 1, 2 and 3 broken bars at no-load, half-and full-load conditions was investigated. Obtained experimental results confirmed the validity of the proposed approach.

引用

页数：4

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