Presentations
Virtual load sensors based on calibrated wind turbine strain sensors for damage accumulation estimation
Bruno Faria, PhD Student, DTU
Session
Abstract
This study addresses the challenge of reliable lifetime assessments of the structural components of wind turbines through load virtual sensors trained and deployed on measurement data from the DTU V52 research turbine. The presented approach integrates strain gauge data to refine model accuracy while considering the impact of strain sensor calibration drift. The virtual sensor framework includes both normal production and start-up/shutdown events, which would allow a single surrogate model to evaluate tower and blade fatigue damage within optimized operational strategies and to be used as input to bearing life models.
