Luo, Y; Harris, P M; Wright, L R; Jagan, K; Kok, G; Coquelin, L; Zaouali, J; Eichstadt, S; Dorst, T; Tachtatzis, C; Andonovic, I; Gourlay, G; Yong, B X (2021) Good practice guide on industrial sensor network methods for metrological infrastructure improvement. NPL Report. MS 36

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Abstract

This guide presents some specific methods to identify the measurement coverage and accuracy required for process output quality targets in industrial sensor networks. It also describes some other methods of metrological data processing for industrial process optimization, focusing on aspects of redundancy, synchronization and feature selection applied to data affected by measurement uncertainty. A testbed, concerning a radial forge at the University of Strathclyde’s Advanced Forming Research Centre in the UK, is used as an illustration for this guide.

This guide is a deliverable of the project 17IND12 Met4FoF “Metrology for the Factory of the Future” (http://www.met4fof.eu) funded by the European Metrology Programme for Innovation and Research (EMPIR).

Item Type:	Report/Guide (NPL Report)
NPL Report No.:	MS 36
Subjects:	Mathematics and Scientific Computing > Modelling
Divisions:	Data Science
Identification number/DOI:	10.47120/npl.MS36
Last Modified:	16 May 2023 10:36
URI:	http://eprintspublications.npl.co.uk/id/eprint/9721

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