Comparison of robust approach and monte carlo methods in uncertainty analysis

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of robust approach and monte carlo methods in uncertainty analysis

Popis výsledku v původním jazyce

For the evaluation of uncertainty a standard methodology is used. This is very well documented in the case of standard procedures (calibration of SPRT in fixed point, calibration by comparison). For the proper propagation of the uncertainty the model ofthe measurement, together with their parameters is needed to be known. In the case, when sensors are calibrated in more points, redundant information is used as a validation of the model. This paper will show the comparison of robust approach and Monte Carlo analysis in uncertainty evaluation of the measurement. A special case with regards of the different level of the measured point?s uncertainty will be discussed. This will lead to the different minimization criteria based on Bayesian approach and different uncertainty propagation methodology. In the case of robust methods this approach will also eliminate the influence of the outline measurements in the calibration. The Monte Carlo analysis will show the influence of distribution pro

Název v anglickém jazyce

Comparison of robust approach and monte carlo methods in uncertainty analysis

Popis výsledku anglicky

For the evaluation of uncertainty a standard methodology is used. This is very well documented in the case of standard procedures (calibration of SPRT in fixed point, calibration by comparison). For the proper propagation of the uncertainty the model ofthe measurement, together with their parameters is needed to be known. In the case, when sensors are calibrated in more points, redundant information is used as a validation of the model. This paper will show the comparison of robust approach and Monte Carlo analysis in uncertainty evaluation of the measurement. A special case with regards of the different level of the measured point?s uncertainty will be discussed. This will lead to the different minimization criteria based on Bayesian approach and different uncertainty propagation methodology. In the case of robust methods this approach will also eliminate the influence of the outline measurements in the calibration. The Monte Carlo analysis will show the influence of distribution pro

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Symposium on Temperature and Thermal Measurements in Industry and Science

ISBN

978-972-8574-15-4

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

246

Název nakladatele

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Místo vydání

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Místo konání akce

Funchal, Madeira

Datum konání akce

14. 10. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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