Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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An Automatic Diagnosis for Rotor Bar Faults using Park's vector Pattern

팍스벡터 패턴을 이용한 회전자 바 고장 자동 진단

  • 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 rotor bar fault for small induction motor is suggested. Usually FFT of stator currents are given the good results, but to detect the fault, slip is needed for calculating the feature frequency. The slip is varied as the load is changed. So in this paper, some alternative method for estimating the load is suggested. This method is based on the Park's vector pattern. The magnitudes of the feature frequency are compared with the threshhold that is predefined in the bounded range of load. The healthy rotor, single rotor bar fault and double rotor bar fault are tested with no load, 25%, 50%, 75%, and 100% rated load. From 50% to 100% rated load case, the rotor bar faults are detectable using indirect estimation of the load and the comparing the magnitudes of feature frequency. The no load case and under 40% rated load case, rotor fault are un detectable.

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