Application of the Monte Carlo method on measurement uncertainty estimation of air flow

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU114483" target="_blank" >RIV/00216305:26220/15:PU114483 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of the Monte Carlo method on measurement uncertainty estimation of air flow

Popis výsledku v původním jazyce

The Guide to the Expression of Uncertainty in Measurement (GUM) approves the use of both the classical approach with partial derivatives and the Monte Carlo technique. The former procedure exhibits two main limitations: Firstly, it requires some mathematical skills to compute the first-order derivatives of each component of the output quantity; secondly, it cannot predict the probability distribution of the output quantity if the input quantities are not normally distributed. The drawbacks, however, areeliminated by the latter concept, namely the Monte Carlo approach. This paper demonstrates that the Monte Carlo simulation method is fully compatible with conventional uncertainty estimation methods. The authors describe application of the Monte Carlo method for the estimation of measurement uncertainty in indirect measurement of air flow with a multiport averaging Pitot tube. The uncertainty of the flowmeter is dependent on the averaging Pitot tube (as a primary element) and on the dif

Název v anglickém jazyce

Application of the Monte Carlo method on measurement uncertainty estimation of air flow

Popis výsledku anglicky

The Guide to the Expression of Uncertainty in Measurement (GUM) approves the use of both the classical approach with partial derivatives and the Monte Carlo technique. The former procedure exhibits two main limitations: Firstly, it requires some mathematical skills to compute the first-order derivatives of each component of the output quantity; secondly, it cannot predict the probability distribution of the output quantity if the input quantities are not normally distributed. The drawbacks, however, areeliminated by the latter concept, namely the Monte Carlo approach. This paper demonstrates that the Monte Carlo simulation method is fully compatible with conventional uncertainty estimation methods. The authors describe application of the Monte Carlo method for the estimation of measurement uncertainty in indirect measurement of air flow with a multiport averaging Pitot tube. The uncertainty of the flowmeter is dependent on the averaging Pitot tube (as a primary element) and on the dif

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

<a href="/cs/project/LO1210" target="_blank" >LO1210: Energie v podmínkách udržitelného rozvoje (EN-PUR)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 16th Internatioanal Carpathian Control Conference (ICCC)

ISBN

978-1-4799-7369-9

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

465-469

Název nakladatele

University of Miscolc, Hungary

Místo vydání

Szilvasvárad, Hungary

Místo konání akce

Szilvásvárad

Datum konání akce

27. 5. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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