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Fault Diagnosis Research of Submarine Casing Cutting Robot for Abandoned Oil Wellhead

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIA) 바로가기
  • 간행물
    International Journal of Security and Its Applications SCOPUS 바로가기
  • 통권
    Vol.8 No.1 (2014.01)바로가기
  • 페이지
    pp.213-224
  • 저자
    Xiaojie Tian, Yonghong Liu, Yunwei Zhang, Rongju Lin, Yuanyuan Xi
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A218103

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원문정보

초록

영어
The effectiveness of a submarine casing cutting robot is mainly influenced not only by its operational but also by its reliability and safety. In this paper, fault diagnosis research of this cutting robot is evaluated using the Bayesian network. A methodology of transforming the fault tree model into Bayesian network model is used. The fault tree model is established simply and conveniently. Bayesian network can address interesting questions allowing both forward and backward analysis. Combining the merits of two methods, the causes of failures, the occurrence probabilities and the importance of various components are analyzed based on the Netica software. The results show that the robot has high reliability and should be paid attentions to the research of feeding mechanism and the discharge gap detection circuits.

목차

Abstract
 1. Introduction
 2. Submarine Casing Cutting Robot
 3. Fault Diagnosis System Based on Bayesian Network
 4. Model Methodology
  4.1. The Establishment of Fault Tree Model
  4.2. Translate the Fault Tree Model into Bayesian Network
  4.3. Validation of the Model
 5. Fault Diagnosis of Submarine Casing Cutting Robot
  5.1. Establishing the Bayesian Network Model for Submarine Casing Cutting Robot
  5.2. Validation of the Model
  5.3. Fault Diagnosis of the Submarine Casing Cutting Robot
 6. Conclusions
 Acknowledgements
 References

키워드

Casing cutting robot Bayesian network Fault diagnosis Submarine abandoned oil wells

저자

  • Xiaojie Tian [ College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, Shandong, 266550, China ]
  • Yonghong Liu [ College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, Shandong, 266550, China ]
  • Yunwei Zhang [ College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, Shandong, 266550, China ]
  • Rongju Lin [ College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, Shandong, 266550, China ]
  • Yuanyuan Xi [ College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, Shandong, 266550, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
  • 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 Security and Its Applications
  • 간기
    격월간
  • pISSN
    1738-9976
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

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