Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures-Reference-Cited by-同舟云学术

Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures

Published:2015-11 Issue: Volume:38 Page:58-66
ISSN:0950-4230
Container-title:Journal of Loss Prevention in the Process Industries
language:en
Short-container-title:Journal of Loss Prevention in the Process Industries

Author:

Liu Zengkai,Liu Yonghong,Cai Baoping,Zhang Dawei,Zheng Chao

Funder

National Natural Science Foundation of China

Specialized Research Fund

Fundamental Research Funds

National High-Technology Research and Development Program of China

Taishan Scholar project of Shandong Province

Changjiang Scholars and Innovative Research Team

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science,Control and Systems Engineering

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4. Dynamic Bayesian networks based performance evaluation of subsea blowout preventers in presence of imperfect repair;Cai;Expert Syst. Appl.,2013

5. Predictive inference for system reliability after common-cause component failures;Coolen;Reliab. Eng. Syst. Saf.,2015

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