基于贝叶斯统计模型的导弹武器系统可靠性评估
Reliability Evaluation of Missile Weapon Systems Based on Bayesian Statistics Model
祝瑜1
作者信息
摘要
基于贝叶斯理论,综合导弹武器系统先验信息以及部件故障数据,建立了其可靠性评估模型,利用MCMC方法进行了计算,得到了可靠性点估计和标准差.研究结果表明:上述模型有效融合部件故障数据评估复杂系统的可靠性,为开展小子样条件系统可靠性评估奠定基础.
Abstract
Based on the Bayesian theory,this thesis integrates the prior information and parts error data of missile weapon sys-tems,establishes a reliable assessment model,calculates with MCMC method and gests reliability point estimation and criteria gap.The results show the above-mentioned model can effectively integrate the reliability of parts error data assessment system of sys-tems,laying foundation for carrying out assessing the reliability of small sample conditioned systems.
关键词
贮存可靠性/贝叶斯统计/MCMC方法Key words
storage reliability/Bayesian statistics/MCMC method引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据