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Fuzzy 理論을 이용한 爐熱診斷 專門家시스템에 관한 연구
홍천식 대구대학교 산업정보대학원 1993 국내석사
An expert system is developed to give action guidance for a better control in blast furnace. The characteristics of heat level and thermal transition of furance is measured by various sensor. The data obtained by sensors is analyzed by statistical methods A knowledge base for diagnosis of abnormal furnace condition is constructed using production rules and frames Finally, an action guidance system based on fuzzy theory decides the abnormal status of furnace. The test results show a rapid and accurate diagnosis of on-1ine process for blast furance operation.