Blade Defect Scan

Autonomous drones armed with X-ray and SAR imaging generate digital twins of turbine blades for defect detection and lifetime prediction.

How does it work?

Traditional blade inspections rely on manual visual checks that can miss subsurface defects and incur high operational costs. Integrating autonomous drones with X-ray and SAR imaging enables comprehensive non-destructive evaluation and feeds digital-twin analytics for accurate lifetime predictions.

Subsurface Detection

X-ray and SAR imaging reveal hidden cracks and voids below the blade surface. Early detection prevents minor flaws from evolving into critical failures.

Automated Inspections

Autonomous drones conduct inspections without manual intervention, reducing downtime and safety risks. Scheduled flights ensure consistent monitoring across the turbine fleet.

High-Resolution Mapping

Combined X-ray and SAR data produce detailed 3D damage maps. Maintenance teams can pinpoint defect locations with centimeter-level accuracy.

Digital Twin Insights

Digital twin models ingest imaging data to simulate blade performance under operational loads. Predictive analytics forecast remaining service life and optimize maintenance schedules.

Cost Reduction

Precise defect identification minimizes unnecessary repairs and blade replacements. Proactive maintenance extends blade lifespans, lowering overall operational expenses.

Scalable Deployment

The platform supports large-scale turbine fleets with cloud-based processing and data management. Automated workflows streamline inspection, analysis, and reporting across multiple sites.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this method compare to traditional visual inspections?
Combining X-ray and SAR imaging uncovers subsurface defects invisible to visual checks. Automated drone flights also reduce inspection time by up to 50% while improving safety.
Why is SAR imaging popular for blade inspections?
SAR penetrates surface coatings and captures structural anomalies regardless of lighting conditions. Its sensitivity to moisture ingress and delamination complements X-ray data for comprehensive evaluation.
What are the limitations of X-ray drone inspections?
X-ray payloads require strict safety protocols and limited flight altitude, constraining coverage speed. Integration with SAR and digital twin analytics offsets these constraints by focusing on high-risk areas.
Can other sensors be used as alternatives to X-ray and SAR?
Thermographic and ultrasonic sensors can detect surface cracks and bonding issues but may miss deeper defects. Combining multiple modalities delivers the most reliable inspection outcomes.
How does the digital twin model predict blade lifetime?
The digital twin integrates historical inspection data, material properties, and operational loads to simulate fatigue progression. Machine learning algorithms update predictions as new imaging data becomes available.
Is this solution scalable for large wind farms?
Cloud-based processing and automated flight planning enable inspections across hundreds of turbines. Centralized data management and customizable analytics dashboards support fleet-wide monitoring.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

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