
Real Damage. Real
Results.
On 17 March 2026, Windrover detected a CAT4–CAT5 Surface Gap Damage through continuous acoustic monitoring. A drone inspection performed on 29 March 2026 confirmed the damage exactly where the system had identified it.
By detecting the defect four months before the scheduled annual inspection, the operator was able to intervene early, reduce maintenance costs by approximately 50%, and prevent further blade deterioration.
1
17 March 2026Early Detection
Windrover generated a CAT4–CAT5 Surface Gap Damage alert during continuous monitoring. The AI engine classified the anomaly as a high-priority defect requiring immediate inspection.

2
29 March 2026Damage Confirmed
A drone inspection was carried out following the Windrover alert. The inspection confirmed the blade damage at the exact location identified by Windrover.

3
Customer Impact- 4 months earlier than the scheduled annual inspection, July 2026
- Approximately 50% maintenance cost savings
- Early intervention prevented further damage progression
- Reduced risk of unplanned downtime and costly blade repairs

1000+
Turbines
Monitored
Monitored
40+
Blades
Saved
Saved
10
Countries
4.2M+
Minutes of
Blade Data
Blade Data
Case Studies
All Case Studies
A field-proven library of blade damage scenarios detected, classified, and tracked by Windrover across different turbine environments.
01
offshore Belgium
Lightning Strike Intelligence
Detected strike event, identified the affected blade, and classified severity for targeted inspection and faster decision-making.

02
offshore Belgium
Ice Formation Detection
Detected early-stage icing conditions through blade behavior analysis, improving operational awareness and intervention planning.

03
Germany
Leading Edge Erosion Progression
Continuous erosion tracking and severity monitoring helped optimize repair timing and reduce maintenance uncertainty.

04
Scotland
Structural Crack Detection
Early-stage crack detected and monitored before escalation, enabling repair completion and avoiding failure.

05
offshore Belgium
Damage Progression Tracking
Tracked progression from CAT2 to CAT4 for smarter maintenance planning before failure.

06
North Sea
Storm Operations Monitoring
Continuous monitoring throughout storm conditions to maintain visibility and avoid delays.

07
Multi-Site Fleet
Fleet-Wide Blade Intelligence
Centralized monitoring of fleet-wide blade health for better prioritization and resource allocation.

08
Remote Wind Farm
Autonomous Monitoring
Continuous monitoring using adaptive power management for reduced site visits and 24/7 visibility.

09
Operational Wind Farm
Acoustic Anomaly Detection
Abnormal acoustic signatures identified during operation to initiate investigation before visible deterioration.

Windrover In Action
From Detection To Decision
i
Windrover does not stop at detection.
Global Operations
Proven Across Offshore and Onshore Wind Farms
Live CoverageMonitoring 24/7 In Real Operating
Conditions
Conditions
Case Study MarkersClick A Location To Explore Real
Customer Results
Customer Results
Deployment Locations
10+
Deployment Intensity
LowHigh
1000+
TURBINES
80+
TURBINE MODELS
10
COUNTRIES
4.2M+
MINUTES OF BLADE DATA
40+
BLADES SAVED