4 papers
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
Daniel Menges, Florian Stadtmann, Henrik Jordheim +1
This paper explores the development and practical application of a predictive digital twin specifically designed for condition monitoring, using advanced mathematical models and th…
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
Florian Stadtmann, Adil Rasheed
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 digi…
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed +3
Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution…
Digital Twin for Wind Energy: Latest updates from the NorthWind project
Adil Rasheed, Florian Stadtmann, Eivind Fonn +12
NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and…