Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1999.11b
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- Pages.131-133
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- 1999
The Fault Types-Classification Techniques in the distribution system using Adaptive Network Fuzzy Inference System
퍼지신경망을 이용한 배전계통의 고장유형 판별 기법
- Jung, Ho-Sung (SungKyunkwan Univ.) ;
- Choi, Sang-Youl (SungKyunkwan Univ.) ;
- Kim, Ho-Joon (SungKyunkwan Univ.) ;
- Shin, Myong-Chul (SungKyunkwan Univ.) ;
- Lee, Bock-Ku (MyungJi College) ;
- Suh, Hee-Seok (DooWon College)
- 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
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.
Keywords