Institute of Wood Science and Technology

Hybrid CNN-GRU framework for wind turbine blade defect classification and data-driven severity assessment for predictive maintenance

Abstract The integrity of wind turbine blades is essential for the continuous production of renewable energy. If left unchecked, surface pollution and fissures hasten structural deterioration, lower aerodynamic efficiency, and result in catastrophic blade failure with serious saf...