Indirect blade deflection monitoring uses vibration signals and control feedback to prevent tower contact while limiting wind turbine maintenance costs.
Tower-mounted LiDAR tracks blade segments along the full span to measure wind turbine deflection accurately without blade sensors.
Multiple tower-mounted LiDAR sensors track blade segments across the span to measure deflection reliably in weather and prevent blade-tower collisions.
Fusing low-cost sensor data with state estimation helps track blade deflection and prevent wind turbine tower strikes without derating.
Individual blade pitch is adjusted only in tower-passing sectors when bending moments exceed limits, reducing collision risk and energy loss.
Real-time thrust and tilt bending monitoring triggers blade pitch changes to avoid tower collision with minimal energy loss.
A state estimator fuses multi-sensor blade data to track deflection continuously and prevent wind turbine tower strikes.
Adaptive blade load limits tied to rotor turbulence trigger pitch changes only when needed to avoid tower strikes and reduce energy loss.
Drones place and remove blade-mounted vibration mitigators on parked wind turbines, cutting installation risk and reducing vortex- and stall-induced stress.
Radar-based blade motion sensing derives acceleration-linked stress fast enough for wind turbine control, reducing wear and structural risk.
Radar backscatter is used to derive blade acceleration and stress in real time, enabling wind turbine load control through yaw, pitch, and torque.
During combined wind-speed and direction changes, threshold-based pitch control reduces component loads and protects power production.
Strain-based estimation and measured correction help control blade pitch and maintain wind turbine tower clearance.
Moment-based pitch offsets act only in the tower-passage azimuth region, limiting blade deflection while reducing bearing wear.
A camera captures images of a retro-reflective blade tip stripe and tower ring to calculate physical separation distance.
Remote sensors measure blade bending moments while approximation functions calculate root loads, avoiding pitch bearing non-linearities.
Calculating blade deflection from a single root-to-tip distance and known modal profile reduces system complexity while preventing tower strikes.