Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Automatic Diagnosis for Stator Winding Faults Using Distortion Ratio

왜곡률을 이용한 고정자 권선고장 자동진단

  • Song, Myung-Hyun (Dept. of Electrical Control Eng., Sunchon National University) ;
  • Park, Kyu-Nam (Dept. of Electrical Control Eng., Sunchon National University) ;
  • Han, Dong-Gi (Dept. of Electrical Control Eng., Sunchon National University) ;
  • Yang, Chul-Oh (Dept. of Electrical Control Eng., Sunchon National University)
  • 송명현 (순천대학교 전기제어공학과) ;
  • 박규남 (순천대학교 전기제어공학과) ;
  • 한동기 (순천대학교 전기제어공학과) ;
  • 양철오 (순천대학교 전기제어공학과)
  • Published : 2007.07.18
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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 (id/iq) is newly defined and compared with the one of healthy motor, and the threshold levels 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.

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