Tarucca
Understand asset condition before failures disrupt operations
The problem
Unplanned failures put energy and infrastructure assets at risk. Interval-based inspections are costly and can leave operators, asset owners and manufacturers without a current view of condition.
What it does
- AI-powered condition monitoring and predictive maintenance
- Optical sensors, digital twins and physics-informed machine learning
- Work on wind turbine blades, mooring lines and power cables
Status and evidence
Current stage: Live.
Projects: MOOR-LIFE, ZeeCAIbel, ReliaBlade 2-NL, AIRTuB-ROMI
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