A Data Structure for Developing Data-Driven Digital Twins
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62578-7_3
Reference20 articles.
1. Grieves, M.: Digital twin: manufacturing excellence through virtual factory replication, March 2015
2. Grieves, M., Vickers, J.: Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. In: Kahlen, F.-J., Flumerfelt, S., Alves, A. (eds.) Transdisciplinary Perspectives on Complex Systems, pp. 85–113. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-38756-7_4
3. Autiosalo, J., et al.: A feature-based framework for structuring industrial digital twins. IEEE Access 8, 1193–1208 (2020)
4. Hribernik, K., et al.: Autonomous, context-aware, adaptive Digital Twins State of the art and roadmap. Comput. Ind. 133, 103508 (2021)
5. Fan, Y., et al.: A digital-twin visualized architecture for Flexible Manufacturing System. J. Manuf. Syst. 60, 176–201 (2021)
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