Motor current signature analysis and fuzzy logic applied to the diagnosis of short-circuit faults in induction motors

被引：0
|
作者：
Pereira, LA [1 ]
Gazzana, DD [1 ]
Pereira, LFA [1 ]
机构：
[1] Pontificia Catholic Univ Rio Grande Do Sul, BR-90619900 Porto Alegre, RS, Brazil
来源：
IECON 2005: THIRTY-FIRST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3 | 2005年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper presents the development and the practical implementation of a system for detection and diagnosis of interturn short-circuits in the stator windings of induction motors. Motor Current Signature Analysis (MCSA) and Fuzzy Logic techniques are utilized in order to achieve that. After a brief description of the MCSA, the causes of short circuits are discussed and characterized with frequency relationships and frequency spectra. Subsequently, failure diagnosis techniques based on Fuzzy Logic are presented. Afterwards, the results of the practical implementation of fault detection and diagnosis system are shown and commented. MATLAB 6.0 and built-in toolboxes; (DSP Blockset, Fuzzy Logic and Real-Time Workshop) are used as a development tool. The implemented and tested method showed efficiency as the practical results corresponded to the predicted with the developed system. The results obtained present a great degree of reliability, which enables them to be used as a monitoring tool for similar motors.
引用
收藏
页码：275 / 280
页数：6
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