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- W4313018468 abstract "The creation of a Digital Twin for existing manufacturing systems, so-called brownfield systems, is a challenging task due to the needed expert knowledge about the structure of brownfield systems and the effort to realize the digital models. Several approaches and methods have already been proposed that at least partially digitalize the information about a brownfield manufacturing system. A Digital Twin requires linked information from multiple sources. This paper presents a graph-based approach to merge information from heterogeneous sources. Furthermore, the approach provides a way to automatically identify templates using graph structure analysis to facilitate further work with the resulting Digital Twin and its further enhancement." @default.
- W4313018468 created "2023-01-05" @default.
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- W4313018468 date "2022-09-06" @default.
- W4313018468 modified "2023-10-17" @default.
- W4313018468 title "A graph-based knowledge representation and pattern mining supporting the Digital Twin creation of existing manufacturing systems" @default.
- W4313018468 doi "https://doi.org/10.1109/etfa52439.2022.9921707" @default.
- W4313018468 hasPublicationYear "2022" @default.
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