《水下防噴器系統可靠性建模與評估》是2015年科學出版社出版的圖書，作者是Yonghong Liu、Baoping Cai、Renjie Ji、Zengkai Liu、Yanzhen Zhang。
基本介紹
- 中文名：水下防噴器系統可靠性建模與評估
- 作者：Yonghong Liu，Baoping Cai，Renjie Ji，Zengkai Liu，Yanzhen Zhang
- ISBN：9787030440051
- 出版社：科學出版社
- 出版時間：2015-06
內容簡介,圖書目錄,
內容簡介
《水下防噴器系統可靠性建模與評估（英文版）》重點論述了深水防噴器系統的可靠性建模與評估理論與方法，採用Markov、Bayesiannetworks等工具研究了深水防噴器系統的可靠性和可用性，給出了考慮共因失效、不完全覆蓋、不完全維修、預防性維護等的可靠性建模方法，並研究得到了系統參數對可靠性的影響規律關係，給出了提高深水防噴器系統可靠性的措施。 Complex mechatronic systems for critical application, such as subsea blowout preventer (BOP) systems, require a high reliability, i.e., a very low probability of failure. For this, many statistical techniques methods have been developed such as fault tree, reliability block diagram, Petri net, Markov chain and Bayesian networks that can predict the system reliability based on its structures and the reliability of each components. For improving the accuracy of reliability evaluation, some important factors and actions, such as common cause failure, imperfect coverage, imperfect repair and preventive maintenance and real-time reliability should be considered. Therefore, we write the book, focusing on Markov and Bayesian network based reliability evaluation.
圖書目錄
封面
Reliability Modeling and Evaluation of Subsea Blowout Preventer Systems
內容簡介
Foreword
Preface
Chapter 1 Development of Automatic Subsea Blowout Preventer Stack Control System Using PLC Based SCADA
Chapter 2 Reliability Analysis of Subsea Blowout Preventer Control Systems Subjected to Multiple Error Shocks
Chapter 3Performance Evaluation of Subsea Blowout Preventer Systems with Common Cause Failures
Chapter 4 Using Bayesian Networks in Reliability Evaluation for Subsea Blowout Preventer Control System
Chapter 5 Dynamic Bayesian Networks Based Per-formance Evaluation of Subsea Blowout Preventers in Presence of Imperfect Repair
Chapter 6 Performance Evaluation of Subsea BOP Control Systems Using Dynamic Baysian Networks with Imperfect Repari and Preventive Maintenance
Chapter 7 Application of Bayesian Networks in Quantitative Risk Assessment of Subsea Blowout Preventer Operations
Chapter 8 Research on the Dynamic Bayesian Net-works Based Real-Time Reliability Evaluation Metho-dology
Chapter 9 A Dynamic Bayesian Networks Modelling of Human Factors on Offshore Blowouts
Chapter 10 Application of Bayesian Networks to Reliability Evaluation of Software System for Subsea Blowout Preventers
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