Online Detection of Induction Motor's Stator Winding Short-Circuit Faults

被引:49
|
作者
Eftekhari, Maryam [1 ]
Moallem, Mehdi [1 ]
Sadri, Saeed [1 ]
Hsieh, Min-Fu [2 ]
机构
[1] Isfahan Univ Technol, Dept Elect & Comp Engn, Esfahan 8415683111, Iran
[2] Natl Cheng Kung Univ, Dept Syst & Naval Mechatron Engn, Tainan 701, Taiwan
来源
IEEE SYSTEMS JOURNAL | 2014年 / 8卷 / 04期
关键词
Condition monitoring; induction motor (IM); phase-to-ground short-circuit fault; turn-to-turn short-circuit fault; 3-D space current locus; PARKS VECTOR APPROACH; NEURAL-NETWORKS; DIAGNOSIS; MACHINES; MODEL;
D O I
10.1109/JSYST.2013.2288172
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The main objective of this paper is to develop a new technique for detecting turn-to-turn short-circuit faults in one or two stator phases of an induction motor. Hence, modeling a turn-to-turn short-circuit fault in more than one phase and a phase-to-ground fault is the first novelty of this paper for calculating phase currents under faulty conditions. This strategy uses the extracted features from the corresponding three-phase current pattern in 3-D space. Identification of faulty phases and of the severity of the fault is the outcome of this technique. This technique is also capable of detecting a phase-to-ground fault. This method just requires current sensors that are available in most drive systems to provide good controllability, and details of the machine design are not necessary. Experimental results are included to show the ability of the proposed strategy for detecting and locating phase/phases under different faults and load conditions.
引用
收藏
页码:1272 / 1282
页数:11
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