Digital Twin for RAMS
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9122-8_8
Reference13 articles.
1. EP Editorial Staff (2022). Improve reliability with digital twins. Efficient Plant
2. Eswaran M, Bahubalendruni MVAR (2022) Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: a state of the art review. J Manuf Syst 65:260–278. https://doi.org/10.1016/j.jmsy.2022.09.016
3. Hribernik K, Cabri G, Mandreoli F, Mentzas G (2021) Autonomous, context-aware, adaptive digital twins—State of the art and roadmap. Comput Ind 133:103508. https://doi.org/10.1016/j.compind.2021.103508
4. ISO Standard (2021) ISO 23247-1:2021—Automation systems and integration—Digital twin framework for manufacturing—Part 1: Overview and general principles
5. Jay L, Jaskaran S, Moslem A (2023) Industrial artificial intelligence. ArXiv, 2019. Accessed 10 Oct 2023. https://arxiv.org/abs/1908.02150
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