基于Markov的系统级动力定位控制系统可靠性分析

针对Markov模型在处理大型冗余系统可靠性问题时会遭遇系统状态量过大,计算耗费时间长,甚至无法有效计算等问题,提出将冗余DP控制系统进行有效分割,分别建立主、备控制系统的Markov模型,进而结合分系统的故障率建立系统级的Markov分析模型。该策略将子系统作为独立的可靠性分析单元,无需获取复杂DP控制系统的所有状态量,大幅减少了系统状态转移的分析量,从而可有效提高冗余控制系统可靠性分析的效率。

Systematic Reliability Analysis of Dynamic Positioning (DP) Control System based on Markov modeling

To avoid the problems such as excessive system state, long calculation time and even impossible calculation of Markov modeling when dealing with the reliability problem of large redundant systems, it is proposed to effectively divide the redundant DP control system to Main and backup control subsystem and establish its own Markov model, respectively. Combining with the failure rate of the subsystem, a system-level Markov analysis model can be established. The strategy uses the subsystem as an independent reliability analysis unit, which does not need to acquire all the state quantities of the complex DP control system, and greatly reduces the analysis amount of the system state transition, thereby effectively improving the efficiency of the reliability analysis.