A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines

Author:

Xu Yaqing,Qamsane YassineORCID,Puchala Saumuy,Januszczak Annette,Tilbury Dawn M.,Barton Kira

Funder

Ford Motor Company

Publisher

Elsevier BV

Reference46 articles.

1. Data-driven and autonomous manufacturing control in cyber-physical production systems;Antons;Comput. Ind.,2022

2. Impact of blockchain and distributed ledger technology for the management of the intellectual property life cycle: A multiple case study analysis;Bonnet;Comput. Ind.,2023

3. Data-driven insights on time-to-failure of electromechanical manufacturing devices: A procedure and case study;Castano;IEEE Trans. Ind. Inform.,2022

4. Real-world anomaly detection by using digital twin systems and weakly supervised learning;Castellani;IEEE Trans. Ind. Inform.,2020

5. Review of digital twin applications in manufacturing;Cimino;Comput. Ind.,2019

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1. Hybrid Collaborative Networks in Energy Ecosystems;IFIP Advances in Information and Communication Technology;2024

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