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

Povzetek

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.

Ključne besede

digital twins;design method;ontology;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 004.4:111(045)
COBISS: 24173827 Povezava se bo odprla v novem oknu
ISSN: 0007-8506
Št. ogledov: 374
Št. prenosov: 52
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: digitalni dvojčki;metoda za načrtovanje;ontologije;
Vrsta dela (COBISS): Članek v reviji
Konec prepovedi (OpenAIRE): 2022-05-20
Strani: str. 145-148
Letnik: ǂVol. ǂ69
Zvezek: ǂiss. ǂ1
Čas izdaje: 2020
DOI: 10.1016/j.cirp.2020.04.086
ID: 11928333
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