Zengkai Liu, Yonghong Liu, Ju Li, Baoping Cai, Qiang Sun, Xinyan Han
언어
영어(ENG)
URL
https://www.earticle.net/Article/A214680
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
An expert system for fault diagnosis of subsea blowout preventer (BOP) has been developed. According to the expert knowledge, common faults could be diagnosed and the system will be enlarged with the increasing knowledge. Fault tree analysis method is used to extract the fault diagnosis information. By this way, the layers of faults and the logical relationship among them can be shown clearly. Production rules are employed to represent the knowledge extracted from layers of fault trees. It’s convenient and easy to understand that the knowledge is connected together through its logic. The developed interfaces are friendly and easy to operate and the users can learn to use the system according to the one by one prompt and query the failure causes easily.
목차
Abstract 1. Introduction 2. The Design of the BOP Fault Diagnosis Expert System 2.1. Knowledge base 2.2. Inference engine 3. The Realization of BOP Fault Diagnosis Expert System 3.1. The selection of development tools of expert system 3.2. The introduction of the interface for BOP fault diagnosis expert system 4. Conclusion Acknowledgements References
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
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 Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.1