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An Integrated Diagnostic System Based on the Cooperative Problem Solving of Multi-Agents: Design and Implementation
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  • An Integrated Diagnostic System Based on the Cooperative Problem Solving of Multi-Agents: Design and Implementation
  • An Integrated Diagnostic System Based on the Cooperative Problem Solving of Multi-Agents: Design and Implementation
저자명
Shin. Dongil,Oh. Taehoon,Yoon. En Sup
간행물명
한국가스학회지
권/호정보
2004년|8권 2호|pp.28-34 (7 pages)
발행정보
한국가스학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

Enhanced methodologies for process diagnosis and abnormal situation management have been developed for the last two decades. However, there is no single method that always shows better performance over all kinds of diagnostic problems. In this paper, a framework of message-passing, cooperative, intelligent diagnostic agents is presented for improved on-line fault diagnosis through cooperative problem solving of different expertise. A group of diagnostic agents in charge of different process functional perform local diagnoses in parallel; exchange related information with other diagnostic agents; and cooperatively solve the global diagnostic problem of the whole process plant or business units just like human experts would do. For their better understanding, sharing and exchanging of process knowledge and information, we also suggest a way of remodeling processes and protocols, taking into account semantic abstracts of process information and data. The benefits of the suggested multi-agents-based approach are demonstrated by the implementations for solving the diagnostic problems of various chemical processes.