基于自助法仿真的不确定度抽样反分析方法研究OA北大核心CSCDCSTPCD
RESEARCH ON UNCERTAINTY RE-SAMPLING REVERSE ANALYSIS METHOD BASED ON BOOTSTRAP SIMULATION
针对测量链中激励源信号不确定度评定难的问题,借助于反分析思想和蒙特卡洛仿真分布传播原理,提出了不确定度分布抽样反分析法.通过Bootstrap自助法再抽样扩展样本容量,结合小样本容量的概率密度函数估计及其不确定度计算,由输出量仿真出输入量概率分布,实现了蒙特卡洛仿真分布传播的逆向过程,间接完成由测试信号到源信号的不确定度评定.实验与仿真结果表明,由反分析法所得不确定度参数与实际检定结果接近,从而验证了不确定度分布抽样反分析法的有效性和可行性.
To tackle with the difficulty in uncertainty evaluation of source signals within a measurement chain, depending on the reverse analysis idea and Monte Carlo simulation distribution and propagation principle, an uncertainty distribution re-sampling reverse analysis method is proposed.The method expands the sample capacity by Bootstrap re-sampling, integrates small sample capacity probability density function estimation along with its uncertainty computa…查看全部>>
祖先锋;毛健人;蒋志文
空军第一航空学院,河南信阳,464000北京临近空间飞行器系统工程研究所,北京,100076国防科学技术大学计算机学院,湖南长沙,410073
测量不确定度反分析法自助法再抽样蒙特卡洛仿真
Measurement uncertainty Reverse analysis method Bootstrap re-sampling Monte carlo simulation
《计算机应用与软件》 2011 (6)
215-217,256,4
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