Avoid Excessive Blade Deflection TRIZ Cases

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.

Non-contact distance sensors mounted on the nacelle measure rotor blade deflections to detect critical structural changes.

A tip clearance control method estimates blade deflection using operational and load values to generate pitch commands.

A wireless sensor system transmits blade structural data only when measurements exceed a predefined tolerance band.

External root communication device bracket on wind turbine blade enables accurate deflection monitoring.

Internal optical reflection sensors measure blade deflections to improve measurement reliability and control precision despite rotor disturbances.

An external Doppler radar system measures wind turbine blade vibrations without internal sensors, eliminating complex wiring and reducing maintenance costs.

A single radar unit detects rotor blade clearance using Doppler shift and a mathematical model.

Predicting blade positions using dynamic rotor data to optimize tower clearance, reducing unnecessary pitching events and component wear.

Y-axis polarized antennas monitor wind turbine blade deflection via ultra-wideband time-of-flight measurements.

A tower-mounted pressure sensor detects air pressure within the rotor wake to provide wind data for dynamic blade pitch control.

A wind turbine pitch control system adjusts blade angles using tower-based shadow distance measurements to manage operational loads.