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Journal of Sensors and Sensor Systems An open-access peer-reviewed journal
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Volume 6, issue 1
J. Sens. Sens. Syst., 6, 97–105, 2017
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

J. Sens. Sens. Syst., 6, 97–105, 2017
https://doi.org/10.5194/jsss-6-97-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 Eichstädt1, Clemens Elster1, Ian M. Smith2, and Trevor J. Esward2 Sascha Eichstädt et al.
  • 1Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany
  • 2National Physical Laboratory, Teddington, UK

Abstract. The analysis of dynamic measurements provides numerous challenges that significantly limit the use of existing calibration facilities and mathematical methodologies. For instance, dynamic measurement analysis requires the application of methods from digital signal processing, system and control theory, and multivariate statistics. The design of digital filters and the corresponding evaluation of measurement uncertainty for high-dimensional measurands are particularly challenging. Several international research projects involving national metrology institutes (NMIs), academia and industry have developed mathematical, statistical and technical methodologies for the treatment of dynamic measurements at NMI level. The aim of the European research project 14SIP08 is the development of guidelines and software to extend the applicability of those methodologies to a wider range of users. This paper outlines the required activities towards a traceability chain for dynamic measurements from NMIs to industrial applications. A key aspect is the development and provision of a new open-source software package. The software is freely available, open for non-commercial distribution, and contains the most important data analysis tools for dynamic measurements.

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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.
The challenges in the analysis of dynamic measurements significantly limit the use of existing...
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