Within our collaboration we have published first results of our approach at the OMAE 2023 conference in Melbourne, Australia.
The paper demonstrates the potential of reconstructed load signals, state-of-the-art sensors and first principles physics-
based digital twins using approaches from the Wind and Oil and Gas sectors. Existing motion-based integrity monitoring
methods are adapted to a real-time reduced-order model of a floating wind unit. Specifically, a state-observer model is used to
reproduce position and mooring tension, enabling mooring failure identification and fatigue tracking.
The methods are demonstrated through a 15 MW synthetic case study, including examination of the impact of noise and
sensor loss on reliability. The results show that the integration of digital twins into sensor-based monitoring systems can
reconstruct missing data with sufficient certainty to facilitate early detection of failures.
Reach out to learn more about the underlaying concept and our solution.
