CORADDU, ANDREA

CORADDU, ANDREA  

100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi  

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Titolo Data di pubblicazione Autore(i) File
A novelty detection approach to diagnosing hull and propeller fouling 1-gen-2019 Coraddu, A.; Lim, S.; Oneto, L.; Pazouki, K.; Norman, R.; Murphy, A. J.
A review on ship motions and quiescent periods prediction models 1-gen-2023 Cademartori, G.; Oneto, L.; Valdenazzi, F.; Coraddu, A.; Gambino, A.; Anguita, D.
Analysis of twin screw ships' asymmetric propeller behaviour by means of free running model tests 1-gen-2013 Coraddu, Andrea; Dubbioso, G.; Mauro, S.; Viviani, Michele
Computationally aware estimation of ultimate strength reduction of stiffened panels caused by welding residual stress: From finite element to data-driven methods 1-gen-2022 Li, S.; Coraddu, A.; Oneto, L.
Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine 1-gen-2024 Ilardi, D.; Kalikatzarakis, M.; Oneto, L.; Collu, M.; Coraddu, A.
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis 1-gen-2018 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback 1-gen-2018 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide
Data-driven ship digital twin for estimating the speed loss caused by the marine fouling 1-gen-2019 Coraddu, A.; Oneto, L.; Baldi, F.; Cipollini, F.; Atlar, M.; Savio, S.
Determining the most influential human factors in maritime accidents: A data-driven approach 1-gen-2020 Coraddu, A.; Oneto, L.; Navas de Maya, B.; Kurt, R.
Digital twins of the mooring line tension for floating offshore wind turbines to improve monitoring, lifespan, and safety 1-gen-2022 Walker, J.; Coraddu, A.; Collu, M.; Oneto, L.
Machine learning approaches for improving condition-based maintenance of naval propulsion plants 1-gen-2016 Coraddu, Andrea; Oneto, Luca; Ghio, Alessandro; Savio, Stefano; Anguita, Davide; Figari, Massimo
Marine dual fuel engines monitoring in the wild through weakly supervised data analytics 1-gen-2021 Coraddu, A.; Oneto, L.; Ilardi, D.; Stoumpos, S.; Theotokatos, G.
Numerical investigation on ship energy efficiency by Monte Carlo simulation 1-gen-2014 Coraddu, Andrea; Figari, Massimo; Savio, Stefano
Numerical methods for monitoring and evaluating the biofouling state and effects on vessels’ hull and propeller performance: A review 1-gen-2022 Valchev, I.; Coraddu, A.; Kalikatzarakis, M.; Geertsma, R.; Oneto, L.
Optimizing Fuel Consumption in Thrust Allocation for Marine Dynamic Positioning Systems 1-gen-2022 Kalikatzarakis, M.; Coraddu, A.; Oneto, L.; Anguita, D.
Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions 1-gen-2021 Coraddu, A.; Oneto, L.; Cipollini, F.; Kalikatzarakis, M.; Meijn, G. -J.; Geertsma, R.
Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data 1-gen-2023 Kalikatzarakis, Miltiadis; Coraddu, Andrea; Atlar, Mehmet; Gaggero, Stefano; Tani, Giorgio; Oneto, Luca
Predicting the cavitating marine propeller noise at design stage: A deep learning based approach 1-gen-2020 Miglianti, Leonardo; Cipollini, Francesca; Oneto, Luca; Tani, Giorgio; Gaggero, Stefano; Coraddu, Andrea; Viviani, Michele
Surrogate models to unlock the optimal design of stiffened panels accounting for ultimate strength reduction due to welding residual stress 1-gen-2023 Coraddu, A.; Oneto, L.; Li, S.; Kalikatzarakis, M.; Karpenko, O.
Vessels fuel consumption forecast and trim optimisation: A data analytics perspective 1-gen-2017 Coraddu, Andrea; Oneto, Luca; Baldi, Francesco; Anguita, Davide