期刊
ISA TRANSACTIONS
卷 58, 期 -, 页码 595-604出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2015.06.011
关键词
Root cause diagnosis; Reliability evaluation; Real-time; Dynamic Bayesian networks; Subsea blowout preventer
资金
- National Natural Science Foundation of China [51309240]
- Specialized Research Fund for the Doctoral Program of Higher Education [20130133120007]
- China Postdoctoral Science Foundation [2015M570624]
- Applied Basic Research Programs of Qingdao [14-2-4-68-jch]
- Science and Technology Project of Huangdao District [2014-1-48]
- Fundamental Research Funds for the Central Universities [14CX02197A]
A novel real-time reliability evaluation methodology is proposed by combining root cause diagnosis phase based on Bayesian networks (BNs) and reliability evaluation phase based on dynamic BNs (DBNs). The root cause diagnosis phase exactly locates the root cause of a complex mechatronic system failure in real time to increase diagnostic coverage and is performed through backward analysis of BNs. The reliability evaluation phase calculates the real-time reliability of the entire system by forward inference of DBNs. The application of the proposed methodology is demonstrated using a case of a subsea pipe ram blowout preventer system. The value and the variation trend of real-time system reliability when the faults of components occur are studied; the importance degree sequence of components at different times is also determined using mutual information and belief variance. (C) 2015 ISA. Published by Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据