Project Grant 2145571

This $634,514 National Science Foundation Engineering grant funds research at Florida Atlantic University from February 2022 to January 2027. The university will develop physics-reinforced data-driven prognostics and co-design tools to advance monitoring and design of marine hydrokinetic energy systems such as marine current turbines and wave energy converters. Researchers will address data scarcity, quality, and concept drift challenges through knowledge transfer and graph learning models incorporating sensor data and system dynamics. Responsive surface models and co-optimization tools using experiments, simulations, and deep neural decision trees will establish relationships between design parameters and performance to optimize turbine design. Outcomes aim to establish foundations for robust predictive monitoring and co-design of complex dynamic systems like offshore wind farms.