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- W4310891504 abstract "Digital twins (DT) constitute a major concept of future industrial systems. They are expected to enable efficient virtualization of manufacturing systems and enhance various decision-making processes. In parallel, many initiatives exhibited how artificial intelligence (AI) could increase the performance of the DT on specific applications. By reviewing the literature combining AI and DT, a lack of contributions on the whole life cycle of the DT was exhibited. Therefore, the main contribution of this paper is to define a global integration framework of AI into DT, focused on the exploitation phase of the DT. A case study, using a relatively simple physical twin, illustrates the potential of such integration for the response of the DT to unpredictable modifications of the physical twin." @default.
- W4310891504 created "2022-12-20" @default.
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- W4310891504 date "2022-01-01" @default.
- W4310891504 modified "2023-10-02" @default.
- W4310891504 title "Integration of Artificial Intelligence in the life cycle of industrial Digital Twins" @default.
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- W4310891504 doi "https://doi.org/10.1016/j.ifacol.2022.10.092" @default.
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