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of an Autonomous Decision Support System for Optimized Maintenance in Wind Turbine Infrastructure”, as part of studies on trustworthy decision process implementation in autonomous operations, investigated in
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PhD scholarship in Design of automatic maintenance recommendation system for wind turbine components
recommendation system for wind turbine components, as part of studies on design and impact assessment of autonomous operations, investigated in IntelliWind. The IntelliWind (Intelligent systems for autonomous Wind
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invites applications for a position as a PhD student in “Development and Implementation of an Autonomous Decision Support System for Optimized Maintenance in Wind Turbine Infrastructure”, as part of studies
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invites applications for a position as a PhD student in “Development and Implementation of an Autonomous Decision Support System for Optimized Maintenance in Wind Turbine Infrastructure”, as part of studies
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Network” (AWETRAIN). Airborne Wind Energy (AWE) is a radical new technology based on tethered aircraft generating electricity from altitudes higher than conventional wind turbines. This allows
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Advance the capabilities of storm identification and modeling in collaboration with DestinE’s Extremes Digital Twin Model turbulence for large wind turbines and wind farm clusters during different storm
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Energy, ii) Wind Turbine Technology, iii) Wind Energy Systems, and iv) Power and Energy Systems. The department is internationally recognised as being in the forefront of wind energy technology and smart
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of tethered airborne wind energy systems that operate at heights well beyond conventional wind turbines, exploiting stronger and more consistent wind resources to generate clean, renewable energy