Evaluation of dynamic measurement uncertainty – an open-source software package to bridge theory and practice

Eichstädt, Sascha; Elster, Clemens; Smith, Ian M.; Esward, Trevor J.

doi:https://doi.org/10.5194/jsss-6-97-2017

Articles | Volume 6, issue 1

https://doi.org/10.5194/jsss-6-97-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Sensors and Measurement Systems 2016

https://doi.org/10.5194/jsss-6-97-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 6, issue 1

Regular research article

|

14 Feb 2017

Regular research article |

| 14 Feb 2017

Evaluation of dynamic measurement uncertainty – an open-source software package to bridge theory and practice

Sascha Eichstädt, Clemens Elster, Ian M. Smith, and Trevor J. Esward

Data sets

PyDynamic – Python package for analysis of dynamic measurements Sascha Eichstädt and Ian Smith https://github.com/eichstaedtPTB/PyDynamic/tree/master/examples

Short summary

The challenges in the analysis of dynamic measurements significantly limit the use of existing calibration facilities and mathematical methodologies. Several international research projects have developed methodologies for the treatment of dynamic measurements at the NMI level. The transfer to industry, though, remains challenging. Therefore, this work provides a link from these activities to industrial end-users by means of the new versatile and comprehensive software package PyDynamic.