Projects per year
Abstract
Mathematical modelling is at the core of metrology as it transforms raw measured data into useful measurement results. A model captures the relationship between the measurand and all relevant quantities on which the measurand depends, and is used to design measuring systems, analyse measured data, make inferences and predictions, and is the basis for evaluating measurement uncertainties. Traditional modelling approaches are typically analytical, for example, based on principles of physics. But with the increasing use of digital technologies, large sensor networks and powerful computing hardware, these traditional approaches are being replaced more and more by data-driven methods. This paradigm shift holds true in particular for the digital future of measurement in all spheres of our lives and the environment, where data provided by large and complex interconnected systems of sensors are to be analysed. Additionally, there is a requirement for existing guidelines and standards in metrology to take the paradigm shift into account. In this paper we lay the foundation for the development from traditional to data-driven modelling approaches. We identify key aspects from traditional modelling approaches and discuss their transformation to data-driven modelling.
Original language | English |
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Place of Publication | Ithaca, NY |
Pages | 1-39 |
Number of pages | 39 |
DOIs | |
Publication status | Published - 21 Dec 2023 |
Keywords
- mathematic modelling
- white box models
- data based approach
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Dive into the research topics of 'Modelling of networked measuring systems -- from white-box models to data based approaches'. Together they form a unique fingerprint.Projects
- 1 Finished
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EMPIR: Metrology for the Factory of the Future
Andonovic, I. (Principal Investigator), Rodden, A. (Co-investigator), Tachtatzis, C. (Co-investigator) & Ward, M. (Co-investigator)
European Commission - Horizon Europe + H2020
1/06/18 → 31/05/21
Project: Research