AI-powered remaining useful life estimation for mooring systems. Probabilistic digital twin. No proprietary sensor installation required. Developed with Eindhoven University of Technology.
Mooring systems are the Achilles heel of floating offshore wind. Hundreds of tonnes of steel chain and synthetic rope must survive 25 years of combined wave fatigue and corrosion in water depths of 60 to 200 metres — environments where direct inspection is extremely difficult and vessel mobilisation costs run to millions of euros.
Today's industry relies on highly conservative, deterministic safety margins. This means over-engineered mooring systems, fixed-interval inspections regardless of actual condition, and multi-million-euro unplanned mobilisations when a line fails.
There is no standard way to know, in real time, how much life a mooring line has left.
As floating wind moves to commercial scale — with thousands of units planned across the North Sea, the Atlantic, and beyond — this problem becomes critical. The industry needs smarter tools.
Schematic: floating offshore wind platform with three mooring lines, showing real-time tension monitoring and RUL estimation.
Tarucca, in partnership with Eindhoven University of Technology (TU/e), is developing a probabilistic digital twin and AI-based remaining useful life (RUL) estimation framework for floating offshore wind mooring lines — funded under TKI Offshore Energy.
The project advances the state of the art in three areas:
Bayesian inference on fatigue damage and corrosion from platform motion and metocean data — no proprietary sensor installation required on the mooring system itself.
Machine learning models trained on public benchmark datasets (OC4, OC6), delivering RUL predictions with quantified uncertainty bands. Target accuracy: 95% confidence interval within ±15%.
A dashboard that quantifies steel saved, CO₂ avoided, and OPEX impact from condition-based rather than schedule-based maintenance decisions.
| Project name | MOOR-LIFE |
| Funding | TKI Offshore Energy (public-private partnership) |
| Duration | October 2025 – February 2027 |
| TRL progression | TRL 3 → TRL 5 |
| Total budget | €305,130 |
| Research partner | Eindhoven University of Technology (TU/e) |
| Industry supporter | TouchWind |
| Network | NedZero / OWIC |
We are actively seeking conversations with:
If you are working on floating offshore wind mooring today — whether at design stage, construction, or in operations — we want to hear about your specific challenge. Our tool is designed to complement your existing workflow, not replace it.