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Development of an Intelligent Program for Diagnosis of Electrical Fire Causes  

권동명 (삼성SDS 전기 Information Service Team)
홍성호 (충북대학교 공과대학 안전공학과)
김두현 (충북대학교 공과대학 안전공학과)
Publication Information
Journal of the Korean Society of Safety / v.18, no.1, 2003 , pp. 50-55 More about this Journal
Abstract
This paper presents an intelligent computer system, which can easily diagnose electrical fire causes, without the help of human experts of electrical fires diagnosis. For this system, a database is built with facts and rules driven from real electrical fires, and an intellectual database system which even a beginner can diagnose fire causes has been developed, named as an Electrical Fire Causes Diagnosis System : EFCDS. The database system has adopted, as an inference engine, a mixed reasoning approach which is constituted with the rule-based reasoning and the case-based reasoning. The system for a reasoning model was implemented using Delphi 3, one of program development tools, and Paradox is used as a database building tool. To verify effectiveness and performance of this newly developed diagnosis system, several simulated fire examples were tested and the causes of fire examples were detected effectively by this system. Additional researches will be needed to decide the minimal significant level of the solution and the weighting level of important factors.
Keywords
intelligent computer system; electrical fire causes diagnosis system; rule-based reasoning; case-based reasoning; delphi 3; paradox;
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