Leading Edge Erosion (LEE) Progression: Precision with an Aerodynamic Model

At Perceptual Robotics, our research into Leading Edge Erosion (LEE) progression leverages an advanced aerodynamic model to estimate the effects of individual damages on turbine blades. This approach allows us to estimate the Annual Energy Production (AEP) loss and consequently, the associated revenue loss with much higher accuracy than traditional methods.

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🚀 Perceptual Robotics Unveils EVE: The Compact Drone Revolutionising Wind Turbine Inspections

🌬️ At Perceptual Robotics, we are committed to driving sustainability and innovation in wind turbine inspection. Today, we are thrilled to announce the launch of EVE, our new compact and portable mini drone designed to revolutionise on-site inspections. 

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Giving context to data, aka End of Project Analysis

Wind farms are vital assets in the renewable energy landscape, but they require meticulous maintenance and repair strategies to ensure optimal performance. After completing an inspection project, our Customer Success Team dives deep into the data gathered, extracting valuable insights to assist in planning and budgeting for your repair campaign.

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Exciting News 🎉 New Feature: AI- Severity Suggestion

Wouldn't it be great if we could all agree on categorisation of findings 100% of the time? While we can't perform miracles just yet, our damage severity suggestion AI-assisted feature helps Blade Experts achieve higher consistency in their assessments across the entire fleet and in historical data. This consistency in damage severity suggestion is crucial for prioritising and budgeting repairs!

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