AI-Driven Load Sensing for Wind Turbine Operations

Abstract Monitoring drivetrain loads is essential for reliable wind turbine operations, yet traditional methods rely on complex rotating sensors. This paper highlights the industrial relevance of AI-driven virtual sensing, utilizing a static sensor setup and machine learning models trained on real-world data to optimize turbine reliability, reduce costs, and enhance operational predictability.