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Recent Submissions
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A Machine-Learning Approach for Prognosis of Oscillating Water Column Wave Generators
(IEEE, 2023-11-01)Wave excitations cause structural vibrations on the Oscillating Water Columns (OWC) lowering the power generated and reducing the life expectancy. The problem of generator deterioration has been considered for the Mutriku ... -
A Machine-Learning Approach for the Development of a FOWT Model Integrated with Four OWCs
(IEEE, 2023-02-20)The wind-wave excitations cause structural vibrations on the Floating Offshore Wind Turbines (FOWT) pressing the power generation efficiency and reducing the life expectancy. In particular, tower-top displacement and ... -
Enhancing Stability and Performance of Hybrid Offshore Wind Platforms: A Novel Fuzzy Logic Control Approach with Computational Machine Learning
(IEEE, 2024-01-01)Harnessing the power of wind and waves for renewable energy production has become vital in the quest for sustainable electricity generation. The fusion of Floating Offshore Wind Turbines (FOWTs) and Oscillating Water Columns ... -
Functional Verification for SEU Emulation in FPGA Designs
(2014-09-17)In this paper techniques to detect failures in a FPGA are presented and their application to SEU (Single Event Upset) emulation applications is discussed. SEU emulation in FPGAs consists on programming the device with a ...