A Retrospective Investigation of Different Uncertainty of Measurement Estimation Approaches

被引：2

作者：

Kumar, Harish ^{[1
]}

Arora, P. K. ^{[2
]}

Moona, Girija ^{[1
]}

Singh, D. P. ^{[3
]}

Singh, Jasveer ^{[1
]}

Kumar, Anil ^{[1
]}

机构：

[1] CSIR, Natl Phys Lab, New Delhi 110001, India

[2] Galgotias Coll Engn & Technol, Greater Noida, India

[3] Mewar Univ, Chittaurgarh, India

来源：

CAD/CAM, ROBOTICS AND FACTORIES OF THE FUTURE | 2016年

关键词：

Monte Carlo simulation; Uncertainty; Vickers hardness; Law of propagation; MONTE-CARLO-SIMULATION;

D O I：

10.1007/978-81-322-2740-3_75

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The general method which has been widely used for computation of Uncertainty of measurement is law of propagation of uncertainty (LPU) method as discussed in Guide for Uncertainty of Measurement (GUM). Numbers of other new methods, with the time, have been evolved for the assessment of Uncertainty of measurement in metrological and measurement related applications. Monte Carlo Method (MCM), has been given the most emphasis and has been recommended by JCGM wide its supplement for Uncertainty of measurement vide JCGM supplement 101: 2008. This paper is an attempt to discuss briefly, the procedure and role of Monte Carlo Method technique in Uncertainty of measurement.

引用

页码：779 / 784

页数：6

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