Articles | Volume 11, issue 1
https://doi.org/10.5194/jsss-11-75-2022
https://doi.org/10.5194/jsss-11-75-2022
Regular research article
 | 
09 Mar 2022
Regular research article |  | 09 Mar 2022

Structure of digital metrological twins as software for uncertainty estimation

Ivan Poroskun, Christian Rothleitner, and Daniel Heißelmann

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Latest update: 28 Mar 2024
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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.