Research
The DIGITAL TWIN program is organized into five main project (Projects 1-5) and is supported by a project on governance. Each of the main projects will be attached to specific use-cases and collaborate with Project 6, in the design and development of a generic demonstrator that is dedicated for public dissemination.
Research Project 1
Taming the High Complexity of Digital Twins
In this project, we will tackle the following scientific challenges. How can we handle the high complexity in the development of multi-disciplinary digital twins? And how do we manage heterogeneous multi-disciplinary models and guarantee the consistency between these models?
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Research Project 2
Automated Model Updating of Digital Twins
This project deals with the improvement of model accuracy by enrichment and real-time updating of dynamical systems & multi-physics models.
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Research Project 3
Methodology and Tool Support for Effective Digital Twinning
Project 3 aims to develop methods and tools for the efficient creation of digital twins using model-driven software development techniques based on combining, managing, integrating and executing heterogeneous models from various engineering disciplines.
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Research Project 4
Technology Health Management
This project focuses on advancing digital twinning for monitoring, diagnostics, anomaly detection, and identification of high-tech systems.
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Research Project 5
Autonomous Process & Control Reconfiguration and Optimization
This project aims at the development of generic frameworks, methods and t ools for autonomous controller tuning, adaptation, reconfiguration, and performance optimization using data-enriched, hybrid models (both on machine and production system level).
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Research Project 6
Digital Twin Demonstrator
This project aims for a platform that covers all key enabling technologies for the automated development of digital twins and their use for technology health management, as well as for control systems reconfiguration and optimization.
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