Evaluation of measurement uncertainty for time-dependent quantities

One of the main challenges in the analysis of dynamic measurements is the estimation of the timedependent value of the measurand and the corresponding propagation of uncertainties. In this paper we outline the design of appropriate digital compensation filters as a means of estimating the quantity o...

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Main Authors: Eichstä Sascha, Arendacké Barbora, Link Alfred, Elster Clemens
Format: Article
Language:English
Published: EDP Sciences 2014-01-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/20147700003
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author Eichstä Sascha
Arendacké Barbora
Link Alfred
Elster Clemens
author_facet Eichstä Sascha
Arendacké Barbora
Link Alfred
Elster Clemens
author_sort Eichstä Sascha
collection DOAJ
description One of the main challenges in the analysis of dynamic measurements is the estimation of the timedependent value of the measurand and the corresponding propagation of uncertainties. In this paper we outline the design of appropriate digital compensation filters as a means of estimating the quantity of interest. For the propagation of uncertainty in the application of such digital filters we present online formulae for finite impulse response and infinite impulse response filters. We also demonstrate a recently developed efficient Monte Carlo method for uncertainty propagation in dynamic measurements which allows calculating point-wise coverage intervals in real-time.
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spelling doaj.art-9313ca88a01745f1bda64175b8c5225b2022-12-22T04:07:24ZengEDP SciencesEPJ Web of Conferences2100-014X2014-01-01770000310.1051/epjconf/20147700003epjconf_icm2014_00003Evaluation of measurement uncertainty for time-dependent quantitiesEichstä Sascha0Arendacké Barbora1Link Alfred2Elster Clemens3Physikalisch-Technische Bundesanstalt (PTB)Physikalisch-Technische Bundesanstalt (PTB)Physikalisch-Technische Bundesanstalt (PTB)Physikalisch-Technische Bundesanstalt (PTB)One of the main challenges in the analysis of dynamic measurements is the estimation of the timedependent value of the measurand and the corresponding propagation of uncertainties. In this paper we outline the design of appropriate digital compensation filters as a means of estimating the quantity of interest. For the propagation of uncertainty in the application of such digital filters we present online formulae for finite impulse response and infinite impulse response filters. We also demonstrate a recently developed efficient Monte Carlo method for uncertainty propagation in dynamic measurements which allows calculating point-wise coverage intervals in real-time.http://dx.doi.org/10.1051/epjconf/20147700003
spellingShingle Eichstä Sascha
Arendacké Barbora
Link Alfred
Elster Clemens
Evaluation of measurement uncertainty for time-dependent quantities
EPJ Web of Conferences
title Evaluation of measurement uncertainty for time-dependent quantities
title_full Evaluation of measurement uncertainty for time-dependent quantities
title_fullStr Evaluation of measurement uncertainty for time-dependent quantities
title_full_unstemmed Evaluation of measurement uncertainty for time-dependent quantities
title_short Evaluation of measurement uncertainty for time-dependent quantities
title_sort evaluation of measurement uncertainty for time dependent quantities
url http://dx.doi.org/10.1051/epjconf/20147700003
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AT arendackebarbora evaluationofmeasurementuncertaintyfortimedependentquantities
AT linkalfred evaluationofmeasurementuncertaintyfortimedependentquantities
AT elsterclemens evaluationofmeasurementuncertaintyfortimedependentquantities