刘永红主编的《水下防喷器系统可靠性建模与评 估（英文版）》重点论述了深水防喷器系统的可靠性 建模与评估理论与方法，采用Markov、 Bayesiannetworks等工具研究了深水防喷器系统的可 靠性和可用性，给出了考虑共因失效、不完全覆盖、 不完全维修、预防性维护等的可靠性建模方法，并研 究得到了系统参数对可靠性的影响规律关系，给出了 提高深水防喷器系统可靠性的措施。
ContentsForewordPrefaceChapter 1 Development of Automatic Subsea Blowout Preventer Stack Control System Using PLC Based SCADA 11.1 Introduction 11.2 Hardware architecture 31.2.1 Overall system architecture 31.2.2 Triple redundant controllers 51.2.3 Dual redundant Ethernet 61.2.4 Redundant subsea electronic modules 71.3 Voting algorithm 81.3.1 Discrete output voting 81.3.2 Discrete input voting 91.3.3 Analog input voting 91.4 Software methodology 101.4.1 Control logic 101.4.2 HMI program 131.4.3 Redundant databases 131.4.4 Remote access 151.5 Results and discussions 151.6 Conclusions 20References 21Chapter 2 Reliability Analysis of Subsea Blowout Preventer Control Systems Subjected to Multiple Error Shocks 232.1 Introduction 232.2 System description 252.2.1 Architecture of subsea BOP control system 252.2.2 Configuration of subsea BOP control system 272.3 System modelling and reliability analysis 292.3.1 Assumptions 292.3.2 System modelling and reliability analysis for TMR system 302.3.3 System modelling and reliability analysis for DDMR system 362.4 Results and discussions 372.5 Conclusions 44References 45Chapter 3 Performance Evaluation of Subsea Blowout Preventer Systems with Common Cause Failures 473.1 Introduction 473.2 System description 493.3 Reliability modelling and analysis 523.3.1 Assumptions 523.3.2 Failure rate and repair rate calculations 533.3.3 Reliability modelling 553.3.4 Performance evaluation 583.4 Results and discussions 593.5 Conclusions 64References 64Chapter 4 Using Bayesian Networks in Reliability Evaluation for Subsea Blowout Preventer Control System 664.1 Introduction 664.2 System description 694.2.1 Subsea BOP system 694.2.2 Configuration of subsea BOP control system 704.3 Bayesian networks modelling for reliability analysis 754.3.1 Overview of Bayesian networks 754.3.2 Bayesian networks modelling for redundant systems 754.3.3 Bayesian networks modelling for subsea BOP control systems 784.4 Results and discussions 824.4.1 Reliability of subsea BOP control systems 824.4.2 Difference between posterior and prior probabilities 824.4.3 Effects of coverage factors on
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