Articles | Volume 11, issue 1
J. Sens. Sens. Syst., 11, 75–82, 2022

Special issue: Sensors and Measurement Science International SMSI 2021

J. Sens. Sens. Syst., 11, 75–82, 2022

Regular research article 09 Mar 2022

Regular research article | 09 Mar 2022

Structure of digital metrological twins as software for uncertainty estimation

Ivan Poroskun et al.

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Cited articles

Alexandrescu, A.: Modern C++ Design: Generic Programming and Design Patterns Applied, Addison-Wesley Longman Publishing Co., Inc., USA, ISBN 0-201-70431-5, 2001. a
Allard, A. and Fischer, N.: Sensitivity analysis in practice: providing an uncertainty budget when applying supplement 1 to the GUM, Metrologia, 55, 414–426,, 2018. a
Beck, K.: Test Driven Development. By Example (Addison-Wesley Signature), Addison-Wesley Longman, Amsterdam, ISBN 0321146530, 2002. a
Eichstädt, S., Elster, C., Härtig, F., Heißelmann, D., Kniel, K., and Wübbeler, G.: VirtMet – applications and overview, in: VirtMet 2021: 1st International Workshop on Metrology for Virtual Measuring Instruments and Digital Twins, PTB Berlin, Berlin, 2021. a, b, c, d
Forbes, A. B., Smith, I. M., Härtig, F., and Wendt, K.: Overview of EMRP joint research project NEW06 “Traceability for computationally-intensive metrology”, in: Series on Advances in Mathematics for Applied Sciences, World Scientific, 164–170,, 2015. a
Short summary
The paper proposes a structure for the creation of new simulation software for uncertainty estimation. The structure was derived from the well-established VCMM. To make it easy to apply the software structure to specific projects, a supporting software library (written in C++) was created. The library provides all the components necessary to create software for uncertainty estimation. The software structure and library proposed can be used in different domains of metrology.