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
收藏
页数：4
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