Page 10: Research news on AI-enabled digital twins

AI-enabled digital twins combine high-fidelity virtual replicas of physical assets with machine learning and sensing technologies to monitor condition, predict failures, and support operational decision-making. Applications span bridges, railways, nuclear reactors, wind turbines, manufacturing equipment, and urban infrastructure, integrating structural health monitoring, non-destructive evaluation, and high-resolution imaging. Data-driven models enable real-time fault diagnosis, risk-informed maintenance, and optimization of performance, often incorporating robotics, remote sensing, and time-series domain adaptation for robust, continuous infrastructure management.

Energy & Green Tech

Making it easier to recycle your house

According to Statistics Norway, an average of approximately 1,100 detached houses have been demolished each year in Norway over the course of the past decade. However, only 7% of the wood from these buildings was recycled.

Energy & Green Tech

Two AI methods can improve wind speed predictions for wind farms

Last year, wind energy accounted for 23.2% of all energy injected into the Spanish electricity system, according to data published by Red Eléctrica in its latest 2024 report. Although wind power leads national energy production, ...

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