ǂA ǂdesign framework for adaptive digital twins
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: | 2020 |
| Typology: | 1.01 - Original Scientific Article |
| Organization: | UL FS - Faculty of Mechanical Engineering |
| UDC: | 004.4:111(045) |
| COBISS: |
24173827
|
| ISSN: | 0007-8506 |
| Views: | 374 |
| Downloads: | 52 |
| Average score: | 0 (0 votes) |
| Metadata: |
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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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