节点文献
集团蒙特卡罗系统可靠性仿真
Cluster Monte Carlo for System Unavailability Evaluation
【摘要】 在高可靠性系统蒙特卡罗仿真中,为了获得可靠的仿真结果,采用直接蒙特卡罗方法将需要很多次仿真试验,花费大量的计算时间,其中主要的时间花费在生均匀分布随机数上。本文在离散分布的集团抽样方法的基础上设计了计算高可靠性系统不可用度的集团蒙特卡罗方法,由于仅仅需要两个均匀分布随机数即可以完成一次仿真试验,集团蒙特卡罗方法将大量减少计算时间,提高算法效率。
【Abstract】 In simulation of highly reliable system, crude Monte Carlo methods are extremely wasteful of computer time. This paper presents a new application of “cluster sampling”of discrete distribution for calculating the system unavailability of system represented by a coherent fault tree or by a reliability block diagram. Since two uniform random numbers generate a trial, cluster Monte Carlo method appreciably reduces computation time, and hence a large number of trials become possible for highly reliable system simulation.
【关键词】 不可用度;
集团蒙特卡罗方法;
高可靠性系统;
可靠性仿真;
【Key words】 unavailability; cluster Monte Carlo method; highly reliable system; simulation;
【Key words】 unavailability; cluster Monte Carlo method; highly reliable system; simulation;
- 【文献出处】 系统仿真学报 ,Acta Simulata Systematica Sinica , 编辑部邮箱 ,2001年03期
- 【分类号】TP391.9
- 【被引频次】8
- 【下载频次】214