Industrial attachment with National Metrology Centre (NMC) A*STAR

Metrology is the science of measurement which includes all theoretical and practical aspects of measurement. Metrological activities are fundamental for guaranteeing the quality of scientific and industrial activities. The Guide to the Expression of Uncertainty in measurement (GUM) has been an inter...

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Main Author: Ong, Xiang Ren.
Other Authors: Lin Zhiping
Format: Industrial Attachment (IA)
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/46526
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-465262023-07-07T16:47:58Z Industrial attachment with National Metrology Centre (NMC) A*STAR Ong, Xiang Ren. Lin Zhiping School of Electrical and Electronic Engineering A*STAR National Metrology Centre DRNTU::Engineering::Electrical and electronic engineering Metrology is the science of measurement which includes all theoretical and practical aspects of measurement. Metrological activities are fundamental for guaranteeing the quality of scientific and industrial activities. The Guide to the Expression of Uncertainty in measurement (GUM) has been an internationally accepted main reference for the evaluation and expression of measurement uncertainty. Recently, evaluation of measurement uncertainty has been proposed on the basis of a numerical method, Monte Carlo Method documented in GUM supplement 1 (S1), ‘Propagation of distributions using a Monte Carlo method’. For the programs that are used to simulate Monte Carlo, Excel macro and MATLAB are compared. Macro in Excel worksheet provides an interface to allow on screen values to be updated upon any form of calculation. A number of examples are tested with macro and shown to consistently produce a well-conditioned result that is documented in GUMS1. MATLAB provides an environment where the codes for Monte Carlo Method (MCM) are written based on matrix operations and integrated functions in this high level programming language. A number of examples are tested with MATLAB and has shown consistency in the results. In order to validate Monte Carlo Method, most of the examples are evaluated based on GUM and MCM. Adding on, both linear and non-linear model are evaluated. The purpose is to show the limitation that arises when GUM approach is applied. MCM is applied to practical applications such as finding the uncertainty of a calibration factor of the power sensor, where partial derivatives based on GUM are tedious to arrive at. 0 2011-12-13T07:04:11Z 2011-12-13T07:04:11Z 2010 2010 Industrial Attachment (IA) http://hdl.handle.net/10356/46526 en Nanyang Technological University 107 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Ong, Xiang Ren.
Industrial attachment with National Metrology Centre (NMC) A*STAR
description Metrology is the science of measurement which includes all theoretical and practical aspects of measurement. Metrological activities are fundamental for guaranteeing the quality of scientific and industrial activities. The Guide to the Expression of Uncertainty in measurement (GUM) has been an internationally accepted main reference for the evaluation and expression of measurement uncertainty. Recently, evaluation of measurement uncertainty has been proposed on the basis of a numerical method, Monte Carlo Method documented in GUM supplement 1 (S1), ‘Propagation of distributions using a Monte Carlo method’. For the programs that are used to simulate Monte Carlo, Excel macro and MATLAB are compared. Macro in Excel worksheet provides an interface to allow on screen values to be updated upon any form of calculation. A number of examples are tested with macro and shown to consistently produce a well-conditioned result that is documented in GUMS1. MATLAB provides an environment where the codes for Monte Carlo Method (MCM) are written based on matrix operations and integrated functions in this high level programming language. A number of examples are tested with MATLAB and has shown consistency in the results. In order to validate Monte Carlo Method, most of the examples are evaluated based on GUM and MCM. Adding on, both linear and non-linear model are evaluated. The purpose is to show the limitation that arises when GUM approach is applied. MCM is applied to practical applications such as finding the uncertainty of a calibration factor of the power sensor, where partial derivatives based on GUM are tedious to arrive at.
author2 Lin Zhiping
author_facet Lin Zhiping
Ong, Xiang Ren.
format Industrial Attachment (IA)
author Ong, Xiang Ren.
author_sort Ong, Xiang Ren.
title Industrial attachment with National Metrology Centre (NMC) A*STAR
title_short Industrial attachment with National Metrology Centre (NMC) A*STAR
title_full Industrial attachment with National Metrology Centre (NMC) A*STAR
title_fullStr Industrial attachment with National Metrology Centre (NMC) A*STAR
title_full_unstemmed Industrial attachment with National Metrology Centre (NMC) A*STAR
title_sort industrial attachment with national metrology centre (nmc) a*star
publishDate 2011
url http://hdl.handle.net/10356/46526
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