A design framework for adaptive digital twins
Erkoyuncu, J. A., del Amo, I. F., Ariansyah, D. , Bulka, D., Vrabič, R. & Roy, R. 
ORCID: 0000-0001-5491-7437 (2020).
A design framework for adaptive digital twins.
CIRP Annals, 69(1),
pp. 145-148.
doi: 10.1016/j.cirp.2020.04.086
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.
| Publication Type: | Article |
|---|---|
| Additional Information: | This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/) |
| Publisher Keywords: | Digital twins; Design method; Ontology |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Departments: | School of Science & Technology |
| SWORD Depositor: |
Available under License Creative Commons Attribution.
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