摘要: 在多阶段共因失效任务系统(PMS_CCF)中,阶段依赖性和共因失效增加了系统可靠性分析的复杂度。为此,提出一种基于蒙特卡洛方法的PMS_CCF仿真算法。通过建立显性故障树获得显性共因结构函数,利用抽样统计思想设计依赖性处理模块,并计算可靠性指标。算例分析结果表明,该算法与解析算法的结果相近,具有可行性。
关键词:
多阶段任务系统,
共因失效,
可靠性仿真,
抽样统计,
蒙特卡洛方法
Abstract: Considering the Phased Mission System with Common Cause Failures(PMS_CCF), the dependencies across phases and common causes make the reliability analysis more complex. A method based on Monto Carlo method is presented. The method makes use of explicit failure tree to obtain explicit common cause structure function, utilizes the idea of statistical sampling to deal with the dependencies. Then reliability result are calculated. A example is probed into showing the simulation feasibility. Based on the contrastcion between the simulate result and the analytic result, the two results fally well. The simulation is feasible.
Key words:
Phased Mission System(PMS),
Common Cause Failures(CCF),
reliability simulation,
sampling statistics,
Monto Carlo method
中图分类号:
陈辰, 钟小军, 杨建军. 多阶段共因失效任务系统可靠性仿真[J]. 计算机工程, 2012, 38(01): 281-283,287.
CHEN Chen, ZHONG Xiao-Jun, YANG Jian-Jun. Reliability Simulation for Phased Mission System with Common Cause Failures[J]. Computer Engineering, 2012, 38(01): 281-283,287.