Title: Enabling the digital twin: a review of the modelling of measurement uncertainty on data transfer standards and its relationship with data from tests

Authors: José Ríos; Georg Staudter; Moritz Weber; Reiner Anderl

Addresses: Department of Computer Integrated Design (DiK), Technische Universität Darmstadt, Darmstadt, Germany; Department of Mechanical Engineering, Universidad Politécnica de Madrid, Madrid, Spain ' Department of Computer Integrated Design (DiK), Technische Universität Darmstadt, Darmstadt, Germany ' Department of Computer Integrated Design (DiK), Technische Universität Darmstadt, Darmstadt, Germany ' Department of Computer Integrated Design (DiK), Technische Universität Darmstadt, Darmstadt, Germany

Abstract: Along the product lifecycle, data obtained in the physical domain are incorporated into the digital one to create models, which constitute a digital twin of a physical object. The acquisition of data from the physical domain involves the measurement of physical magnitudes. Making explicit the uncertainty of the data transferred from the physical domain is relevant to achieve the objectives of reducing uncertainty and improving predictions. The realisation of the digital twin requires implementing an interoperable data driven architecture between the physical and the digital domains. Data transfer standards are a fundamental part of that architecture. This work provides a review of the measurement uncertainty definition and specification, illustrates the data transfer in the context of the digital twin of a test rig, and discusses how uncertainty is modelled and represented in data transfer standards.

Keywords: uncertainty representation; measurement uncertainty specification; digital twin; virtual test rig; data transfer standards.

DOI: 10.1504/IJPLM.2020.109801

International Journal of Product Lifecycle Management, 2020 Vol.12 No.3, pp.250 - 268

Received: 09 Dec 2019
Accepted: 01 Apr 2020
Published online: 24 Sep 2020 *

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