Reference Architecture for Running Computationally Intensive Physics-Based Digital Twins of Heavy Equipment in a Heterogeneous Execution Environment

Reference Architecture for Running Computationally Intensive Physics-Based Digital Twins of Heavy Equipment in a Heterogeneous Execution Environment

Physics-based digital twins for heavy equipment provide a powerful tool for improving operation and maintenance activities. In contrast to data-driven models, they present more explainable and confident results but require more computational power. Besides the problem of physics-based digital twins...

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Bibliographic Details
Main Authors: Victor Zhidchenko, Egor Startcev, Heikki Handroos
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Cloud computing
data model
digital twin
Internet of Things
simulation
virtualization
Online Access:https://ieeexplore.ieee.org/document/9779257/

Internet

https://ieeexplore.ieee.org/document/9779257/

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