Publication detail

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

ŠEDIVÁ, S. UHER, M. HAVLÍKOVÁ, M.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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, are eliminated 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 differential pressure transmitter uncertainty. In this case, the probability distributions of the input quantities are not normal. Matlab is used for the estimation of the air flow measurement uncertainty via the Monte Carlo method.

Keywords

uncertainty; the Monte Carlo method; multiport averaging Pitot tube; flowmeter.

Authors

ŠEDIVÁ, S.; UHER, M.; HAVLÍKOVÁ, M.

RIV year

2015

Released

29. 5. 2015

Publisher

University of Miscolc, Hungary

Location

Szilvasvárad, Hungary

ISBN

978-1-4799-7369-9

Book

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

Pages from

465

Pages to

469

Pages count

5

BibTex

@inproceedings{BUT115051,
  author="Soňa {Šedivá} and Miroslav {Uher} and Marie {Havlíková}",
  title="Application of the Monte Carlo method on measurement uncertainty estimation of air flow",
  booktitle="Proceedings of the 16th Internatioanal Carpathian Control Conference (ICCC)",
  year="2015",
  pages="465--469",
  publisher="University of Miscolc, Hungary",
  address="Szilvasvárad, Hungary",
  isbn="978-1-4799-7369-9"
}