A design framework for adaptive digital twins
ID Erkoyuncu, John Ahmet (Author), ID Amo, Iñigo Fernández del (Author), ID Ariansyah, Dedy (Author), ID Bulka, Dominik (Author), ID Vrabič, Rok (Author), ID Roy, Rajkumar (Author)

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Digital Twin (DT) is a "living" entity that offers potential with monitoring and improving functionality of interconnected complex engineering systems (CESs). However, lack of approaches for adaptively connecting the existing brownfield systems and their data limits the use of DTs. This paper develops a new DT design framework that uses ontologies to enable co-evolution with the CES by capturing data in terms of variety, velocity, and volume across the asset life-cycle. The framework has been tested successfully on a helicopter gearbox demonstrator and a mobile robotic system across their life cycles, illustrating DT adaptiveness without the data architecture needing to be modified.

Keywords:digital twins, design method, ontology
Work type:Article (dk_c)
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status in journal:Published
Article version:Publisher's version of article
Number of pages:Str. 145-148
Numbering:Vol. 69, iss. 1
PID:20.500.12556/RUL-117880 This link opens in a new window
ISSN on article:0007-8506
DOI:10.1016/j.cirp.2020.04.086 This link opens in a new window
COBISS.SI-ID:24173827 This link opens in a new window
Publication date in RUL:31.07.2020
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Record is a part of a journal

Title:CIRP annals
Shortened title:CIRP ann.
Publisher:Technische Rundschau, Hallwag Verlag, Colibri, Elsevier
COBISS.SI-ID:170267 This link opens in a new window

Secondary language

Keywords:digitalni dvojčki, metoda za načrtovanje, ontologije


Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Project number:P2-0270
Name:Proizvodni sistemi, laserske tehnologije in spajanje materialov

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