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Blade Monitoring and Predictive Maintenance for Wind Turbines

Advanced sensors, machine learning and AI for enhanced wind turbine performance and risk mitigation.

Data Analytics

Optimize turbine performance with real-time insights.

Enhance safety through advanced sensor technology.

Predict failures using intelligent machine learning algorithms.

AI Solutions
Sensor Technology

Innovative Solutions for Wind Energy

At Blackboxwind, we specialize in providing insights necessary to operate, optimise and maintain wind turbine blades, utilizing cutting-edge sensors, machine learning, and artificial intelligence to enhance performance and reliability in renewable energy.

A large wind turbine stands prominently against a partly cloudy sky, surrounded by lush green trees. A wooden path bordered by fences and blue panels leads through the foliage, creating a harmonious blend of nature and technology.
A large wind turbine stands prominently against a partly cloudy sky, surrounded by lush green trees. A wooden path bordered by fences and blue panels leads through the foliage, creating a harmonious blend of nature and technology.

Trusted by Experts

Proven Technology

Continuous ~ realtime

Blade Monitoring

Advanced sensors, machine learning and AI for optimal wind turbine blade performance, reliability and risk mitigation.

A series of large wind turbines are spread out across a grassy field under a clear sky. In the foreground, a person lies on the ground, possibly resting or observing. A drone is hovering in the air near the turbines.
A series of large wind turbines are spread out across a grassy field under a clear sky. In the foreground, a person lies on the ground, possibly resting or observing. A drone is hovering in the air near the turbines.
Data Analysis Solutions based unique digital twin

Utilizing machine learning for enhanced turbine operational insights and performance optimization.

Predictive Maintenance Tools

AI-driven analytics to foresee issues and reduce downtime in wind turbine operations.

Real-Time Monitoring

Continuous data tracking for immediate insights into wind turbine performance and safety.

Advanced Solutions

Innovative edge processing of realtime ~ continious monitoring wind turbine blade performance through AI.

An aerial view of a large, white wind turbine standing on an expansive brown field. The shadow of the turbine extends across the textured surface of the land, creating a striking geometric pattern. The blades of the turbine are sharply defined and contrast with the earthen tones of the field. A small structure sits near the base of the turbine.
An aerial view of a large, white wind turbine standing on an expansive brown field. The shadow of the turbine extends across the textured surface of the land, creating a striking geometric pattern. The blades of the turbine are sharply defined and contrast with the earthen tones of the field. A small structure sits near the base of the turbine.
Smart Data Tools

Our smart data tools utilize advanced sensors and machine learning to optimize wind turbine operations, ensuring maximum efficiency and reliability in energy production for a sustainable future.

A large wind turbine stands tall against a clear blue sky, with three elongated blades extending from its hub. The turbine's tower is white and cylindrical, supporting the machinery at the top labeled with 'GE Wind Energy 15i'.
A large wind turbine stands tall against a clear blue sky, with three elongated blades extending from its hub. The turbine's tower is white and cylindrical, supporting the machinery at the top labeled with 'GE Wind Energy 15i'.
Edge processing for blade performance

Our sensors and data acquistion units provide Edge processing of realtime ~ continuous recordings of critical data, enabling real-time analysis and predictive maintenance, ultimately enhancing the safety and performance of wind turbines in diverse operational environments.

The blackbox solution provides the insights necessary to mitigate the risk of blade failures. The insights enable operators to apply a predictive maintenance approach to achieving increased availability and improve LCOE.

The close-up image captures the upper part of a white wind turbine, focusing on the nacelle and a section of the rotor blade. The turbine features various mechanical components and a metal rail around the nacelle.
The close-up image captures the upper part of a white wind turbine, focusing on the nacelle and a section of the rotor blade. The turbine features various mechanical components and a metal rail around the nacelle.
A tall wind turbine with three blades set against a clear blue sky. The blades have red markings at the tips for visibility.
A tall wind turbine with three blades set against a clear blue sky. The blades have red markings at the tips for visibility.

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