Industrial diagnosis is a domain where problems are recurrent and therefore previous documented solution can be successfully reused. Different methodologies may be implemented for a given diagnosis domain, one of the appropriate, appears to be Case-Based Reasoning (CBR). A CBR system is a combination of processes and knowledge called “knowledge containers“, that allows to preserve and to exploit previous experiences. Its reasoning power can be improved through the use of general knowledge about the domain in question. CBR systems combining case specific knowledge with general domain knowledge models are called knowledge intensive CBR (KI-CBR). The present work aims to develop a CBR application for fault diagnosis of steam turbines that integrates a domain knowledge modeling in an ontological form. This system is view as a KI-CBR system based on domain ontology, built around jCOLIBRI a well-known framework to design KI-CBR systems.
목차
Abstract 1. Introduction 2. Related Work 3. Modeling Knowledge 3.1 Ontology 3.2 Case based Reasoning (CBR) 3.3 Steam Turbines 4. System Architecture 4.1 Domain Knowledge 4.2 CBR Application 4.3. Mediator 5. Implementation 5.1. Domain Ontology 5.2. CBR application 6. Results and Discussion 7. Conclusion References
키워드
Domain OntologyCases based ReasoningKI-CBRFault diagnosisjCOLIBRI
보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Hybrid Information Technology
간기
격월간
pISSN
1738-9968
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.5 No.3