Early Damage Detection
Real-Time Remote Wind Turbine Monitoring
Improve Performance While Decreasing the Cost
Warnings and Alerts


Windrover provides 24/7 health monitoring service with maintenance recommendations for wind turbine blades.

Windrover empowers early wind turbine blade damage detection through the collection and analysis of acoustic data using its machine learning algorithms.

Thanks to our artificial intelligence software that analyses the data we collect from the sensors we place on wind turbines, we ensure that maintenance and repair activities are carried out before
the damage to the blades reaches the surface.
We extend the life-time of wind turbines by providing health information through our algorithm

With Windrover's mobile application, effortlessly monitor your turbine's daily, weekly, and monthly health through intuitive data visualizations and comparative charts. In the event of efficiency drops, the application notifies asset operators with detailed reports and alarms.

Our software can classify different types of damages such as cracks, fractures, burns on the wind turbine blades and provide information about the size and location of the damage.