Zugriffsnummer 56282
Dokumenttyp Bericht Freier Zugang
Sprache Englisch
Titel D1 - Good practice guide on uncertainty evaluation for virtual experiments in conjunction with real measurements
Autor(in); Institution
Marschall, Manuel; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Kok, Gertjan; VSL, Delft, THE NETHERLANDS
van Dijk, Marcel; VSL, Delft, THE NETHERLANDS
Stavridis, Manuel; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Hughes, Finn; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Wübbeler, Gerd; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Heißelmann, Daniel; 5.3, Koordinatenmesstechnik, PTB-Braunschweig
Fortmeier, Ines; 4.2, Bild- und Wellenoptik, PTB-Braunschweig
Schmelter, Sonja; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Quelle/Jahr (2026), ii, 99 S.
Availability [online only]
DOI
URL
Verlag Zenodo
Freie Schlagworte Virtual Experiments ; Good Practice Guide ; Uncertainty Evaluation ; GUM ; Monte Carlo ; Bayes
Zusammenfassung This good practice guide (GPG) was written as part of the European Partnership on Metrology (EPM) project “Trustworthy virtual experiments and digital twins” (22DIT01 ViDiT), which has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. The aim of this GPG is to describe how to carry out uncertainty evaluation when there are real measurements available in conjunction with a virtual experiment, which models the measurement in a virtual environment. Several methods for uncertainty evaluation are presented and assessed in terms of their properties and limitations. These methods include approaches as documented in the GUM and its supplements, as well as alternative Monte Carlo sampling approaches and methods involving Bayesian inference. These methods will be applied and discussed in terms of three real measurement use cases.
Kostenfreier Zugang Freier Zugang
Rechteinformation CC BY 4.0 ; Creative Commons Attribution 4.0 License
Forschungsprojekt 22DIT01: ViDiT: Trustworthy virtual experiments and digital twins
Förderinformationen (1) Förderername: EURAMET
Förderprogramm: EPM 2022 Digitalisation
Titel der Förderung: 22DIT01: ViDiT: Trustworthy virtual experiments and digital twins
URI der Förderung: https://www.vidit.ptb.de/home

Zitierung

Marschall, M., Kok, G., van Dijk, M., Stavridis, M., Hughes, F., Wübbeler, G., Heißelmann, D., Fortmeier, I., & Schmelter, S. (2026). D1 - Good practice guide on uncertainty evaluation for virtual experiments in conjunction with real measurements. Zenodo. https://doi.org/10.5281/zenodo.18383863

Exportieren

PTB-Publica Menü

Sprache wechseln: uk flag