High data availability in low aerosol environments make it suitable for bankable wind data collection even in areas with clean air. With its compact, low-power design, easy deployment, and a 5-year warranty, WindCube 2.1 XP sets a new standard for wind lidar that continues to advance the wind energy industry.

We offer a comprehensive solution for the inspection and analysis of wind turbines, from real-time autonomous data collection to AI-powered software analysis and detailed digital reporting. Our proprietary technologies enable precise and objective assessments of turbine conditions, helping to optimize maintenance strategies and extend the lifespan of wind turbines.

With years of experience in the wind energy sector, combined with expertise in innovative drone technology and our award-winning autonomous AERO Flight Intelligence System, we have created world-leading hardware and software solutions for blade management. Our advanced analysis methods set new standards for the inspection and maintenance of onshore and offshore wind farms.

Read More ...

Machine-learning-enabled thermal imaging solutions are addressing these issues. Bi-spectral cameras, like SYTIS’ TC-90™, provide clear images and remote, real-time visibility into electrical enclosures. These miniaturized cameras fit inside nacelles and, powered by POE, offer a holistic view of components, connections and wiring. They detect micro-failures—like pinhole leaks in hydraulic lines—before they escalate.

Shifting from time-based to condition-based maintenance enables earlier interventions, historical trend analysis and more resilient and efficient operations while reducing the need for high-risk manual inspections.

For more information – read the case study by Ryan Severe, Senior Engineer for Wind Assets at Puget Sound Energy.

Maintaining offshore wind platforms is notoriously challenging. Remote locations, harsh weather and complex logistics pose continuous safety and operational risks for personnel. When a fire/arc event occurs inside a nacelle, critical diagnostic information is often lost, and crews are left uncertain about the failure's cause or required parts until after inspection.

Machine-learning-enabled thermal imaging solutions are addressing these issues. Bi-spectral cameras, like SYTIS’ TC-90™, provide clear images and remote, real-time visibility into electrical enclosures. These miniaturized cameras fit inside nacelles and, powered by POE, offer a holistic view of components, connections and wiring. They detect micro-failures—like pinhole leaks in hydraulic lines—before they escalate.

Shifting from time-based to condition-based maintenance enables earlier interventions, historical trend analysis and more resilient and efficient operations while reducing the need for high-risk manual inspections.

For more information – read the case study by Ryan Severe, Senior Engineer for Wind Assets at Puget Sound Energy.