Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on Fault Diagnosis of the Motor by Fuzzy Fault Tree

퍼지 Fault Tree 기법에 의한 모터 고장진단에 관한 연구

  • Lee, Sung-Hwan (Division of Energy & Electrical Engineering, Uiduk University,) ;
  • Choi, Chul-Hwan (Division of Energy & Electrical Engineering, Uiduk University,) ;
  • Jang, Nak-Won (Division of Electrical and Electronics Engineering, Korea Maritime University)
  • 이성환 (위덕대학교 에너지전기공학부) ;
  • 최철환 (위덕대학교 에너지전기공학부) ;
  • 장낙원 (한국해양대학교 전기전자공학부)
  • Published : 2007.07.18
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Abstract

In this thesis, an algorithm of fault detection and diagnosis during operation for induction motors under the condition of various loads and rates is investigated. For this purpose, the spectrum pattern of input cutterrents was used to monitor the state of induction motors, and by clustering the spectrum pattern of input currents, the newly occurrence of spectrums pattern caused by faults were detected. For diagnosis of the fault detected, the fuzzy fault tree was designed, and the fuzzy relation equation representing the relation between an induction motor fault and each fault type, was solved. The solution of the fuzzy relation equation shows the possibility of each fault's occurring.

Keywords