Abstract
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.
Highlights
The analysis of dynamic measurements, i.e. measurements where at least one of the quantities of interest is timedependent, is becoming increasingly important in metrology and industry
Dynamic measurements are routinely carried out at the industrial level and mathematical and statistical methods, guidelines and best-practice guides, which are suitable for typical industrial applications, are required
One of the outcomes of this project is the software package PyDynamic, which after only one year of development already provides implementations of the major tools required for the analysis of dynamic measurements
Summary
The analysis of dynamic measurements, i.e. measurements where at least one of the quantities of interest is timedependent, is becoming increasingly important in metrology and industry. I.e. measurements where no quantity of interest is timedependent, the Guide to the Expression of Uncertainty in Measurement (GUM) and its supplements (BIPM et al, 2008a, b, 2011) are widely considered as quasi-standards regarding the evaluation of uncertainty These documents have led to the development of many software packages of varying complexity, which provide easy-to-use implementations of the GUM framework. NMIs PTB (Physikalisch-Technische Bundesanstalt, Germany) and NPL (National Physical Laboratory, UK), together with international companies HBM GmbH and RollsRoyce Ltd., aim to develop practical guidelines, tutorials, training material and software In this contribution we outline the challenges to be tackled by the analysis of dynamic measurements, indicate recent publications on the state of the art at NMI level, and give an introduction to the publicly available open-source software package PyDynamic being developed within 14SIP08. The deployment through the established platform PyPi5 allows for an easy installation with the simple command pip install PyDynamic
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