摘要
在多源验前信息的情况下,以k/n(G)系统为例,讨论了如何对系统的可靠性指标进行估计的问题.在多个验前信息源给出了系统可靠性指标点估计的情况下,利用多层Bayes方法及经验Bayes方法对这些数据进行融合,并给出系统可靠性指标的Bayes点估计,同时对系统可靠度的置信区间也作了讨论.仿真算例表明这种处理方法是合理有效的.
In this paper we discuss the estimation of the system reliability in multi-sources of prior information, and for the case of the k/n（G） system product. First, when the estimation of the mean life of the system and the estimation of the reliability of the system can obtain from the multi-sources of prior information, we give two fusion methods that the Hierarchical Bayes method and the EB method for these data and attain the estimation of the system reliability and also discuses the confidence interval. Finally,. the simulation results show that the method proposed in this paper reasonable and effective.
出处
《数学的实践与认识》
CSCD
北大核心
2010年第2期83-90,共8页
Mathematics in Practice and Theory
基金
国家自然科学基金(70471057)
陕西省教育厅自然科学基金(03Jk065)
西北工业大学种子基金(Z200569)
