Comparison of GUM and Monte Carlo method for evaluation measurement uncertainty of indirect measurements

被引：0

作者：

Sediva, Sona ^{[1
]}

Havlikova, Marie ^{[1
]}

机构：

[1] BUT, Dept Control & Instrumentat, Fac Elect Engn & Commun, Brno, Czech Republic

来源：

PROCEEDINGS OF THE 2013 14TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC) | 2013年

关键词：

measurement uncertainty; Monte Carlo method; indirect measurement; GUM; probability density function;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper the two approaches were used to calculation the uncertainty of the indirect measurements. The relation between standard method for evaluating the measurement uncertainty described in the GUM (the Guide to the Expression of Uncertainty in Measurement) and Monte Carlo method is outlined. The Monte Carlo method is numerical procedure for solving mathematical problems by means of simulating random variables. Uncertainty evaluation by Monte Carlo method is based on a probabilistic approach that combines the whole distribution of the factors and is not just based on their means and standard deviation. The results obtain by the Monte Carlo method for the several examples are compared to the corresponding results when the GUM is applied.

引用

页码：325 / 329

页数：5