Generative and Predictive AI for digital twin systems in manufacturing
Dan Dai, Baixiang Zhao, Zhiwen Yu, Pasquale Franciosa, Dariusz Ceglarek · 2025
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Description
Dan Dai and four colleagues published an engineering paper in two thousand twenty-five on artificial intelligence inside digital twins for manufacturing. A digital twin mirrors a factory process live. Adding generative and predictive AI should let it foresee faults and test fixes virtually.
The system design uses generative AI to expand training data, inspect part geometry, and build 3D test scenes from video. Predictive AI reads sensor streams to catch welding defects early and forecast quality. Partial implementation results are reported. Explainable, context-aware, and agentic modules are sketched as future layers. The authors claim gains in efficiency, quality assurance, and earlier digital-physical alignment.
Catalog record
| CREATOR | Dan Dai, Baixiang Zhao, Zhiwen Yu, Pasquale Franciosa, Dariusz Ceglarek |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |