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Conceptualizing Digital Twins

delete2022-03-01
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OA
AI
R
Romina Eramo *
F
Francis Bordeleau
B
Benoît Combemale
M
Mark van den Brand
M
Manuel Wimmer
A
Andreas Wortmann
DOI:10.1109/MS.2021.3130755delete
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Abstract

Abstract

En 中文
Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous models and their respective evolving data for the twins entire lifecycle.

Journal

IEEE Software cover
IEEE Software
IF:
3
Papers:
3.1K
Citations:
3.6K

Organization

University of LAquila cover
University of LAquila
Scholars:
7.4K
Papers: 6.6K
Citations: 6.7K
J
Johannes Kepler University Linz
Scholars:
5.5K
Papers: 4.6K
Citations: 106
U
universite de rennes
Scholars:
1.7W
Papers: 1.3W
Citations: 30
E
ecole de technologie superieure - canada
Scholars:
1.5K
Papers: 1.6K
Citations: 1
U
university of quebec
Scholars:
2.0W
Papers: 1.9W
Citations: 19
E
Eindhoven University of Technology
Scholars:
1.6W
Papers: 1.5W
Citations: 2.2W
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