John Ahmet Erkoyuncu (Author), Iñigo Fernández del Amo (Author), Dedy Ariansyah (Author), Dominik Bulka (Author), Rok Vrabič (Author), Rajkumar Roy (Author)

Abstract

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;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FS - Faculty of Mechanical Engineering
UDC: 004.4:111(045)
COBISS: 24173827 Link will open in a new window
ISSN: 0007-8506
Views: 374
Downloads: 52
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: digitalni dvojčki;metoda za načrtovanje;ontologije;
Type (COBISS): Article
Embargo end date (OpenAIRE): 2022-05-20
Pages: str. 145-148
Volume: ǂVol. ǂ69
Issue: ǂiss. ǂ1
Chronology: 2020
DOI: 10.1016/j.cirp.2020.04.086
ID: 11928333
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