Continuous optical monitoring and AI analysis for wind turbine structural health. Protecting your most valuable and most vulnerable assets.
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.
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.
Illustrative blade condition metrics from a monitored wind turbine. Divergence between blades indicates developing asymmetry — an early warning signal.
High-sensitivity fiber-optic vibration sensors installed inside the nacelle. Immune to electromagnetic interference. No modification of blades required.
Machine learning models trained on normal operating patterns detect deviations across all three blades. Pairwise correlation analysis identifies asymmetry caused by developing damage.
Condition trends, severity classifications, and recommended actions — delivered through a clear dashboard. SCADA and environmental data fusion eliminates false alarms.
| Current status | Operational — monitoring wind turbine blades in continuous deployment |
| Target customers | Wind farm asset owners and O&M teams (onshore and offshore) |
| Sensor type | Photonic vibration sensors — high sensitivity, EM immune |
| Data approach | SCADA fusion + environmental contextualisation |
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.
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.