Zugriffsnummer 52629
Dokumenttyp Konferenzartikel in Zeitschrift Open Access Gold
Peer Review mit Peer Review
Sprache Englisch
Titel JCGM 101-compliant uncertainty evaluation using virtual experiments
Autor(in); Institution
Hughes, Finn; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Marschall, Manuel; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Wübbeler, Gerd; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Kok, Gertjan; VSL Dutch Metrology Institute, Delft, THE NETHERLANDS
van Dijk, Marcel; VSL Dutch Metrology Institute, Delft, THE NETHERLANDS
Elster, Clemens; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Quelle/Jahr Proceedings of the XXIV IMEKO World Congress. Measurement: Sensors: 38 (2025), Suppl., e1 - e5
Artikelnummer 101731
Availability [online only]
ISSN 2665-9174
DOI
Verlag Amsterdam: Elsevier
Konferenzangaben IMEKO 2024 XXIV World Congress, Hamburg, 26-29, August, 2024, Deutschland
Freie Schlagworte Virtual experiment ; Non-linear model ; Uncertainty evaluation ; Monte Carlo method
Zusammenfassung Virtual experiments (VEs), a modern tool in metrology, can be used to help perform an uncertainty evaluation for the measurand. Current guidelines in metrology do not cover the many possibilities to incorporate VEs into an uncertainty evaluation, and it is often difficult to assess if the intended use of a VE complies with said guidelines. In recent work, it was shown that a VE can be used in conjunction with real measurement data and a Monte Carlo procedure to produce equal results to a supplement of the Guide to the Expression of Uncertainty in Measurement. However, this was shown only for linear measurement models. In this work, we extend this Monte Carlo approach to a common class of non-linear measurement models and more complex VEs, providing a reference approach for suitable uncertainty evaluations involving VEs. Numerical examples are given to show that the theoretical derivations hold in a practical scenario.
Relation
Kostenfreier Zugang Open Access Gold
Rechteinformation CC BY 4.0 ; Creative Commons Attribution 4.0 License
Themenbereich der Metrologie Metrologie in der Medizin
Forschungsprojekt ViDit
Förderinformationen (1) Förderername: European Commission (EC)
Förderer ID: 0000 0001 2242 8989
Förderer ID Typ: ISNI
Förderprogramm: Metrology Partnership 2022 Digital Transformation
Titel der Förderung: 22DIT01: ViDiT: Trustworthy virtual experiments and digital twins
Förderungsnummer: 22DIT01

Zitierung

Hughes, F., Marschall, M., Wübbeler, G., Kok, G., van Dijk, M., & Elster, C. (2025). JCGM 101-compliant uncertainty evaluation using virtual experiments. Measurement: Sensors, 38(Suppl.), e1–e5. https://doi.org/10.1016/j.measen.2024.101731

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