Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling

Author:

Su ChangORCID,Han Yong,Tang Xin,Jiang Qi,Wang Tao,He Qingchen

Publisher

Elsevier BV

Reference60 articles.

1. Abburu, Sailesh, Arne J. Berre, Michael Jacoby, Dumitru Roman, Ljiljana Stojanovic, and Nenad Stojanovic. 2020b. COGNITWIN-Hybrid and Cognitive Digital Twins for the Process Industry. In 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 1–8. IEEE.

2. Adl, Ahmed El. 2016. The Cognitive Digital Twins: Vision, Architecture Framework and Categories. Technical Report. https://www.slideshare.net/slideshow/embed_code/key/JB60Xqcn.

3. Al Faruque, Mohammad Abdullah, Deepan Muthirayan, Shih-Yuan Yu, and Pramod P. Khargonekar. 2021. Cognitive Digital Twin for Manufacturing Systems. In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 440–445. IEEE.

4. S. Amit, Introducing the Knowledge Graph: things, not strings, Google Official Blog, 2012. [Online]. Available: https://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html.

5. A Knowledge Graph for Industry 4.0;Bader,2020

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