RAINBOW aims to tackle wind turbine blade degradation due to leading-edge erosion, which relates to impact fatigue caused by the impingement of airborne particles, and lightning strikes. This phenomenon is held responsible for a loss in productivity between €56 and €75 million a year across the European offshore wind energy sector. Therefore, the RAINBOW project aims to provide the offshore wind energy industry with an improved understanding of the drivers for leading edge erosion (LEE) of the offshore wind turbine blades, resulting in new predictive maintenance capabilities, and optimised strategies for inspection, maintenance & repair.

Research topics:  

• Learning in Multi-Agent Systems
• Machine Learning for Data mining
• Reinforcement Learning