Funder
European Research Council
Horizon 2020
Horizon 2020 Framework Programme
Subject
Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Fluid Flow and Transfer Processes,Mechanical Engineering
Reference38 articles.
1. E. Glaessgen, D. Stargel, The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles, in: 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, http://dx.doi.org/10.2514/6.2012-1818.
2. The convergence of digital twin, IoT, and machine learning: Transforming data into action;Kaur,2020
3. Adaptive digital twins of combustion systems using sparse sensing strategies;Procacci;Proc. Combust. Inst.,2023
4. The role of data fusion in predictive maintenance using digital twin;Liu;AIP Conf. Proc.,2018
5. The digital twin: Demonstrating the potential of real time data acquisition in production systems;Uhlemann;Procedia Manuf.,2017
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献