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Auto-Diagnosis for Stator Winding Faults Using Distortion Ratio of Park's Vector Pattern  

Song, Myung-Hyun (순천대학교 전기제어공학과)
Park, Kyu-Nam (순천대학교 전기제어공학과)
Han, Dong-Gi (순천대학교 전기제어공학과)
Yang, Chul-Oh (순천대학교 전기제어공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.57, no.2, 2008 , pp. 160-163 More about this Journal
Abstract
In this paper, an auto-diagnosis method of the stator winding fault for small induction motor is suggested. 3-phase stator currents are sampled, filtered, and transformed with Park's vector transformation. After then Park's vector patterns are obtained. To detect the stator winding fault automatically, a distortion ratio is newly defined and compared with the one of healthy motor, and the threshold levels of distortion ratio are suggested. The 2-turn, 4-turn, 8-turn winding fault are tested with no load, 25%, 50%, 75%, and 100% rated load. The distortion ratio of the Park's vector patterns are increased as the increase of the faulted turns, but are same as the increase of the load.
Keywords
Auto-Diagnosis; Park's Vector Pattern; Distortion Ratio; Stator Winding; Fault;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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