Application of machine learning techniques to build digital twins for long train dynamics simulations
Author:
Affiliation:
1. Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy
2. Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
Publisher
Informa UK Limited
Subject
Mechanical Engineering,Safety, Risk, Reliability and Quality,Automotive Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00423114.2023.2174885
Reference65 articles.
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4. Futai MM Bittencourt TN Santos RR et al. Utilization of digital twins for bridge inspection monitoring and maintenance. In: Pellegrino C Faleschini F Zanini MA et al. editors. Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures; 29 August-1 September; Padova Italy: Springer Cham; 2022. p. 166–173.
5. Pappaterra MJ. A literature review for the application of artificial intelligence in the maintenance of railway operations with an emphasis on data. In: Marrone S De Sanctis M Kocsis I et al. editors. Dependable Computing – EDCC 2022 Workshops; 12 September; Zaragoza Spain: Springer Cham; 2022. p. 59–75.
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