Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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The Fault Types-Classification Techniques in the distribution system using Adaptive Network Fuzzy Inference System

퍼지신경망을 이용한 배전계통의 고장유형 판별 기법

  • 정호성 (성균관대학교 전기전자 컴퓨터공학부) ;
  • 최상열 (성균관대학교 전기전자 컴퓨터공학부) ;
  • 김호준 (성균관대학교 전기전자 컴퓨터공학부) ;
  • 신명철 (성균관대학교 전기전자 컴퓨터공학부) ;
  • 이복구 (명지전문대학 전기과) ;
  • 서희석 (두원공과대학 전기과)
  • Published : 1999.11.20
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Abstract

This paper proposed the technique of the fault-types classification using Adaptive Network Fuzzy Inference System in the distribution system. Fault and fault-like data in the linear RL load, arc furnace load and converter load were extracted by EMTP. These were characterized into 5 input variables and fuzzified automatically by learning. This technique was tested using another fault data unused learning.

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