摘要
针对系统级完好性监测过程中,监测网、监测站及监测设备运行状态相互耦合,监测网中断对系统级完好性监测可用性影响尚不清晰的问题,研究提出综合利用马尔科夫链和贝叶斯网的集成算法,开展系统级完好性监测的可用性建模与分析。该算法借助马尔科夫链确定监测设备可用性,采用中断分析确定监测网逻辑关系,利用贝叶斯网开展系统级完好性监测可用性建模与分析。仿真分析结果验证了本方法的正确性和可行性,并指出在区域布设的系统中,监测站可用性高低在重要度确定过程中占主导作用。
Aiming at the complicated relationship of monitoring nets,monitoring stations monitoring equipments,and effects of monitoring nets outage on availability,the Markov chains and Bayesian Networks are proposed for availability modeling of system-level integrity monitoring.Availability of monitoring equipments was emulated by Markov chains,the relationships among monitoring nets were computed by outage analysis,and Bayesian networks was applied for modeling and analysis of system-level integrity monitoring.The results prove the feasibility and validity of this method,and in regional system,the availability of monitoring stations plays a more important role than their relationships.
出处
《导航定位学报》
2015年第2期38-44,48,共8页
Journal of Navigation and Positioning
基金
导航专项预研基金(WDJBZX01060301)
关键词
完好性监测
可用性
贝叶斯网络
马尔科夫链
故障诊断
integrity monitoring availability Bayesian networks Markov chains fault diagnosis