Earticle

초록

영어

The work develops a redundant software system for subsea blowout preventers, including control logics, human-machine interface (HMI) programs, remote access and redundant databases in order to meet the high reliability requirement of subsea drilling. The Bayesian networks (BN) for control logics, HMI programs and redundant databases are built and then the whole BN are established. The quantitative reliability evaluation is performed by using Netica software. The probability of software failure is evaluated via forward analysis, and the posterior probability given the failure is evaluated via backward analysis. The mutual information is researched in order to assess the important degree of basic events. The results show that the probability of software failure is 0.04%, which can meet the requirement of subsea drilling. The triple common cause failure should be paid more attention in order to improve the software performance. In addition, the control logics have the most important influences on software safety; the HMI programs have the least important influences; and the redundant databases are in between.

목차

Abstract
 1. Introduction
 2. Software Development
  2.1. Subsea BOP Control System
  2.2. Control Logics
  2.3. HMI Programs and Remote Access
  2.4. Redundant Databases
 3. BN Modeling for Reliability Analysis
  3.1. Overview of Bayesian Networks
  3.2. BN Modeling for Software System
  3.3. Reliability Evaluation
  3.4. Validation of Modeling
 4. Results and Discussions
  4.1. Probability of Software Failure
  4.2. Mutual Information Investigation
  4.3. Validation of the Model
 5. Conclusions
 Acknowledgments
 References

키워드

저자

• Baoping Cai [ College of Mechanical and Electronic Engineering, China University of Petroleum ]
• Yonghong Liu [ College of Mechanical and Electronic Engineering, China University of Petroleum ]
• Qian Fan [ College of Mechanical and Electronic Engineering, China University of Petroleum ]
• Yunwei Zhang [ College of Mechanical and Electronic Engineering, China University of Petroleum ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605