M. Tankari

Sensor-Driven Robust Fault Detection and Diagnosis for Wind Turbines Under Dynamic and Uncertain Environments Based on Digital Twin-Enhanced Fusion Learning

Reliable fault detection and diagnosis in wind turbine systems remains a significant challenge due to the highly dynamic and uncertain nature of real-world operating environments. Variations in wind speed, turbulence intensity, mechanical loading, and sensor noise can substantially degrade the performance of convention...