A. Bošnjaković
V. Karahodžić
M. Čaušević
A.M.H. van der Veen
2021-06-03
<p>In this example, the evaluation of measurement uncertainty of power transformer losses are given. It is shown how this evaluation can be performed using the law of propagation of uncertainty from the “Guide to the expression of uncertainty in measurement” (GUM) as well as the propagation of distributions using the Monte Carlo method from GUM Supplement 1 (GUM-S1). It is shown how the approach using the Monte Carlo method can be used to validate the output from the law of propagation of uncertainty from the GUM.</p>
<p>Files contained in the dataset:</p>
<ul>
<li>A2.2.4_Power_Load_Loss.pdf: report,</li>
<li>A2.2.4_Power_Load_Loss.tex: LaTeX file to be compiled in order to produce “A2.2.4_Power_Load_Loss.pdf”,</li>
<li>Compendium.bib: bibliography file,</li>
<li>A224.bib: bibliography file,</li>
<li>EMPIR.jpg: figure file,</li>
<li>EMUELogo-03.jpg: figure file,</li>
<li>EurametLogo.png: figure file,</li>
<li>A224_Monte_Carlo_method.R: R-script developed for implementing the Monte Carlo method (GUM Supplement 1)</li>
</ul>
https://doi.org/10.5281/zenodo.4896452
oai:zenodo.org:4896452
eng
Zenodo
https://zenodo.org/communities/emue
https://doi.org/10.5281/zenodo.4896451
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
measurement uncertainty evaluation
power transformers losses
Monte Carlo method
law of propagation of uncertainty
EMUE-D4-4-TransformerPowerLoadLoss
info:eu-repo/semantics/other