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Know the condition of every blade — before problems become failures.

Continuous optical monitoring and AI analysis for wind turbine structural health. Protecting your most valuable and most vulnerable assets.

Blade failures are expensive. And largely avoidable.

Wind turbine blades are among the most expensive and hardest-to-inspect components in a wind farm. Blade failures — from pitch bearing degradation to structural fatigue — cost operators millions in unplanned downtime and emergency mobilisation.

Yet most blade monitoring today relies on periodic visual inspections that are costly, weather-dependent, and unable to detect the early-stage damage that precedes catastrophic failure.

The problem is compounded offshore: access is restricted, weather windows are narrow, and the cost of each inspection vessel deployment is high. By the time a problem is visible, the damage is already severe.

Operators need continuous, intelligent monitoring that detects early changes in blade behaviour — long before failure — and tells them when and where to intervene.

Offshore wind turbines

What we do

Tarucca's blade monitoring system uses photonic vibration sensors — installed inside the turbine nacelle — to continuously measure the dynamic behaviour of all three blades. By analysing vibration patterns, frequency shifts, and inter-blade correlation, our AI models detect emerging anomalies and flag degradation before it becomes a safety or revenue risk.

Our system fuses blade sensor data with SCADA data and environmental conditions (wind speed, RPM, temperature) to distinguish genuine structural changes from normal operational variation. This dramatically reduces false alarms while ensuring real issues are never missed.

Live Condition Monitoring
Smoothed & standardised blade metrics with pairwise correlations
2 1 0 -1 Jul Aug Sep Oct Nov Dec Anomaly detected Blade 1 Blade 2 Blade 3

Illustrative blade condition metrics from a monitored wind turbine. Divergence between blades indicates developing asymmetry — an early warning signal.

Photonic Sensing

High-sensitivity fiber-optic vibration sensors installed inside the nacelle. Immune to electromagnetic interference. No modification of blades required.

AI Anomaly Detection

Machine learning models trained on normal operating patterns detect deviations across all three blades. Pairwise correlation analysis identifies asymmetry caused by developing damage.

Actionable Dashboards

Condition trends, severity classifications, and recommended actions — delivered through a clear dashboard. SCADA and environmental data fusion eliminates false alarms.

What the system delivers

Continuous structural health monitoring — 24/7, no scheduled inspection windows
Photonic sensors: high sensitivity, EM-immune, suitable for the nacelle environment
AI anomaly detection across all three blades simultaneously
Pairwise blade correlation analysis — detects asymmetry from developing damage
SCADA and environmental data fusion for context-aware interpretation
Alert system with severity classification and recommended actions

Where we are now

Current status

Current statusOperational — monitoring wind turbine blades in continuous deployment
Target customersWind farm asset owners and O&M teams (onshore and offshore)
Sensor typePhotonic vibration sensors — high sensitivity, EM immune
Data approachSCADA fusion + environmental contextualisation

Partners & consortia

AIRTuB ROMI — advanced blade monitoring research consortium
ReliaBlade2NL — Dutch offshore blade reliability programme
PhotonDelta — Dutch photonics ecosystem
Consortia with Eneco, Vattenfall, Shell, TNO
OWIC (Offshore Wind Innovation Centre)

Is this for you?

If you own or operate wind turbines — onshore or offshore — and are responsible for keeping them running at maximum availability while controlling O&M costs, Tarucca's blade monitoring is designed for you.

Wind farm asset owners who want continuous blade health visibility without scheduled inspections
O&M teams managing blade reliability across a fleet of turbines
Operators planning the transition from onshore to offshore turbine monitoring
OEMs wanting to integrate intelligent monitoring into their turbine offerings

We are particularly interested in conversations with asset owners who want to validate or pilot the system in their fleet ahead of the offshore launch.

Talk to us about blade monitoring →