[HTML][HTML] Physics-guided federated learning as an enabler for digital twins

F Stadtmann, ER Furevik, A Rasheed… - Expert Systems with …, 2024 - Elsevier
Digital twins bring the potential to increase the efficiency of assets, systems, and processes
by building virtual replicas through real-time data and modeling. However, data are often …

Diagnostic digital twin for anomaly detection in floating offshore wind energy

F Stadtmann, A Rasheed - International …, 2024 - asmedigitalcollection.asme.org
The demand for condition-based and predictive maintenance is rising across industries,
especially for remote, high-value, and high-risk assets. In this article, the diagnostic digital …

Digital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation

D Menges, A Rasheed - arXiv preprint arXiv:2411.03465, 2024 - arxiv.org
Autonomous surface vessels (ASVs) are becoming increasingly significant in enhancing the
safety and sustainability of maritime operations. To ensure the reliability of modern control …

Predictive Digital Twin for Condition Monitoring Using Thermal Imaging

D Menges, F Stadtmann, H Jordheim… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper explores the development and practical application of a predictive digital twin
specifically designed for condition monitoring, using advanced mathematical models and …

Digital Twin for Wind Energy: Latest Updates From the NorthWind Project

A Rasheed, F Stadtmann, E Fonn… - International …, 2024 - asmedigitalcollection.asme.org
NorthWind, a collaborative research initiative supported by the Research Council of Norway,
industry stakeholders, and research partners, aims to advance cutting-edge research and …