A novel indicator of stator winding inter-turn fault in induction motor using infrared thermal imaging

被引：45
作者：
Eftekhari, M. [1 ]
Moallem, M. [1 ]
Sadri, S. [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 70101, Taiwan
来源：
INFRARED PHYSICS & TECHNOLOGY | 2013年 / 61卷
关键词：
Condition monitoring; Induction motor; Inter-turn short circuit fault; Infrared thermal image; Feature extraction; THERMOGRAPHY; MACHINES;
D O I：
10.1016/j.infrared.2013.10.001
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
In this paper, a novel online and non-destructive algorithm is proposed to detect inter-turn short circuit faults in the stator windings of an induction motor. This fault detection algorithm is based on the features extracted from infrared images taken from the hottest region of the motor surface. Feature extraction method from infrared thermal images has been developed based on histogram of temperature profile, correlation between fault severity and the hottest region on the motor body, and comparison with healthy motor features. Experiments are conducted to demonstrate the effectiveness of the proposed method using a 2-hp induction motor. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：330 / 336
页数：7
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