摘要
讨论了串联系统在具有多源验前信息的情形下的可靠性评估问题,运用K u llback信息作为分布之间距离的度量,在K u llback信息的融合准则下对多个先验分布进行融合.并以融合后的先验分布作为系统的最终验前分布,对串联系统的可靠性指标进行Bayes估计.最后进行的计算机随机模拟结果表明,文中所提出的方法合理且便于应用.
To discuss the reliability evaluation of series system with multiple prior sources. Using the Kullback information as the distance measure of distribution, and the prior distributions are combined under the fusion rule Of Kullback information. The fused prior distribution is taken as the final prior distribution of the system, and using Bayes method to analyze the reliability performances for the series system, Finally, the computer simulation shows that the estimator in this paper is reasonable and convenient for applying.
出处
《纯粹数学与应用数学》
CSCD
北大核心
2006年第4期454-458,共5页
Pure and Applied Mathematics
基金
国家自然科学基金(No.70471057)
西北工业大学研究生创业种子基金资助(No.Z2000569)