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Development of Fuzzy Inference Systems for Protection to Electrical Accidents of Laboratory

연구실 전기사고방지를 위한 퍼지 추론 시스템 개발

  • Park, Keon-Jun (Department of Information Communication Engineering, Wonkwang University) ;
  • Lee, Dong-Yoon (Department of Electrical Electronic Engineering, Joongbu University)
  • 박건준 (원광대학교 정보통신공학과) ;
  • 이동윤 (중부대학교 전기전자공학과)
  • Received : 2011.06.18
  • Accepted : 2011.08.11
  • Published : 2011.08.31

Abstract

To prevent the electrical accidents in the laboratory, we identify problems for periodic inspections of the electric field and develop a fuzzy inference system that can be practically applied to check items. Focusing on electrical safety in the lab environment, we draw check items that can be applied in common and develop a standard checklist that is consistent with the laboratory electrical safety and the periodic inspections. Using the standard checklist we select the items that may contain a linguistic ambiguity and define the membership functions for these items. We also have a safety rating defined by the membership function. Using these fuzzy variables we form the fuzzy rules in the form of 'If-Then' and develop a fuzzy inference system through the fuzzy engine. From this, electrical accidents could be prevented in advance continuously by managing the intelligent and efficient inspection and electrical safety to prevent the electrical accidents in the laboratory.

연구실에서의 전기 사고를 방지하기 위하여 실시하는 전기 분야의 정기 점검에 대한 문제점을 파악하고 점검 항목에 대해 실제적으로 적용할 수 있는 퍼지 추론 시스템을 개발한다. 연구실의 전기 안전 환경을 중심으로 공통적으로 적용할 수 있는 점검 항목을 도출하고 연구실 전기 안전 관리에 부합한 연구실 정기 점검을 위한 전기 분야 표준 점검 리스트를 개발한다. 이러한 표준 점검 리스트를 이용하여 언어적 애매함을 포함할 수 있는 항목을 선정하고 이들 항목에 대해 소속 함수를 정의한다. 또한 안전 등급에 대해서도 소속 함수를 정의한다. 이러한 퍼지 변수들을 이용하여 If-Then 형식의 퍼지 규칙을 형성하고 퍼지 추론 엔진을 통해 퍼지 추론 시스템을 개발한다. 이를 통해 연구실의 전기 사고를 방지하기 위한 지능적이고 효율적인 점검 및 전기 안전을 지속적으로 관리함으로써 전기 사고를 미연에 방지할 수 있을 것이다.

Keywords

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