摘要
以先验信息为基础,在给定的总试验量下,以系统故障率估计的均方误差最小为优化目标,给出解析算法和蒙特卡洛模拟两种计算方法,确定了不同环境下试验量的最优分配方案.最后,将该优化试验设计方法应用于某型号车载速射迫炮在三种温度环境下的优化试验设计.
Based on the prior information and the given total amount of experiments, to minimizing the mean square error of system failure rate estimation, we give out the parsing algorithm and the Monte Carlo method, thereby determining the optimal allocation scheme of the experiment numbers in different environments. And then we apply this method to the optimal experimental design of a certain type of on-board rapid-fire mortars in different environments.
出处
《数学的实践与认识》
CSCD
北大核心
2014年第18期225-230,共6页
Mathematics in Practice and Theory
基金
国家自然科学基金(11371054)
关键词
试验设计
故障率估计
均方误差
系统可靠性
整数规划
experiment design
failure rate estimation
mean square error
system reliabilityinteger programming