All you need to run your factory !
“ Maximum precision | Early detection | Vibration protection | Performance optimization | Reduced downtime ”
SHM.Blade is a proven system, certified by DNV GL, capable of detecting structural damage and aerodynamic imbalances in rotor blades at an early stage.
To achieve this, a reference condition is established individually for each rotor blade, fully automatically, immediately after SHM.Blade is activated.
The determination of the reference state is a blade-specific learning phase that ensures the system's high sensitivity to damage, despite the mass and stiffness tolerances induced during production.
Once the learning phase is complete, the system continuously calculates condition indicators, providing real-time information about the current state of the blade. With a two-level warning and alarm system, the wind turbine control can react accordingly, preventing further damage.
Using the imbalance indicator calculated by SHM.Blade, aerodynamic imbalances can be detected early and precisely.
This ensures vibration-optimized operation while protecting components. Performance losses are avoided, and the risk of turbine shutdown is reduced.
The integrated pitch angle monitoring also extends the lifespan of drivetrain components and supporting structures.
Particularly in so-called "cold climate" locations, additional weather-related risks arise.
Increased loads due to icing significantly impact the wind turbine’s lifespan. Measuring vibration behavior has proven to be a safe and effective method for ice detection.
With the IDD.Blade detector, icing can be reliably detected.
It enables automatic ice detection and automatically stops the blades in case of icing.
It is suitable for both early damage detection and aerodynamic imbalance detection.
Since the sensors in the rotor blades directly measure actual icing conditions, the results are much more reliable than assessments based on weather parameters. IDD.Blade reduces downtime to actual icing periods.
INTERNET USERS ALSO CONSULTED ON THE CATEGORY OTHER SENSORS
See also
