Andrea Coraddu
Cited by
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Machine learning approaches for improving condition-based maintenance of naval propulsion plants
A Coraddu, L Oneto, A Ghio, S Savio, D Anguita, M Figari
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2016
Data-driven ship digital twin for estimating the speed loss caused by the marine fouling
A Coraddu, L Oneto, F Baldi, F Cipollini, M Atlar, S Savio
Ocean Engineering 186, 106063, 2019
Vessels fuel consumption forecast and trim optimisation: A data analytics perspective
A Coraddu, L Oneto, F Baldi, D Anguita
Ocean Engineering 130, 351-370, 2017
Condition-based maintenance of naval propulsion systems with supervised data analysis
F Cipollini, L Oneto, A Coraddu, AJ Murphy, D Anguita
Ocean Engineering 149, 268-278, 2018
Analysis of twin screw ships' asymmetric propeller behaviour by means of free running model tests
A Coraddu, G Dubbioso, S Mauro, M Viviani
Ocean Engineering 68, 47-64, 2013
Determining the most influential human factors in maritime accidents: A data-driven approach
A Coraddu, L Oneto, BN de Maya, R Kurt
Ocean Engineering 211, 107588, 2020
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback
F Cipollini, L Oneto, A Coraddu, AJ Murphy, D Anguita
Reliability Engineering & System Safety 177, 12-23, 2018
Numerical investigation on ship energy efficiency by Monte Carlo simulation
A Coraddu, M Figari, S Savio
Proceedings of the institution of mechanical engineers, part M: journal of …, 2014
Time-dependent biofouling growth model for predicting the effects of biofouling on ship resistance and powering
D Uzun, YK Demirel, A Coraddu, O Turan
Ocean Engineering 191, 106432, 2019
Ship efficiency forecast based on sensors data collection: Improving numerical models through data analytics
A Coraddu, L Oneto, F Baldi, D Anguita
OCEANS 2015-Genova, 1-10, 2015
A novelty detection approach to diagnosing hull and propeller fouling
A Coraddu, S Lim, L Oneto, K Pazouki, R Norman, AJ Murphy
Ocean Engineering 176, 65-73, 2019
Marine dual fuel engines monitoring in the wild through weakly supervised data analytics
A Coraddu, L Oneto, D Ilardi, S Stoumpos, G Theotokatos
Engineering Applications of Artificial Intelligence 100, 104179, 2021
Predicting the cavitating marine propeller noise at design stage: A deep learning based approach
L Miglianti, F Cipollini, L Oneto, G Tani, S Gaggero, A Coraddu, M Viviani
Ocean Engineering 209, 107481, 2020
Unsupervised deep learning for induction motor bearings monitoring
F Cipollini, L Oneto, A Coraddu, S Savio
Data-Enabled Discovery and Applications 3, 1-13, 2019
A review of operations and maintenance modelling with considerations for novel wind turbine concepts
J McMorland, C Flannigan, J Carroll, M Collu, D McMillan, W Leithead, ...
Renewable and Sustainable Energy Reviews 165, 112581, 2022
Vessels fuel consumption: A data analytics perspective to sustainability
A Coraddu, L Oneto, F Baldi, D Anguita
Soft computing for sustainability science, 11-48, 2017
Machine learning for wear forecasting of naval assets for condition-based maintenance applications
A Coraddu, L Oneto, A Ghio, S Savio, M Figari, D Anguita
2015 International Conference on Electrical Systems for Aircraft, Railway …, 2015
Recent advances in understanding the flow over bluff bodies with different geometries at moderate Reynolds numbers
MR Lekkala, M Latheef, JH Jung, A Coraddu, H Zhu, N Srinil, BH Lee
Ocean Engineering 261, 111611, 2022
Numerical methods for monitoring and evaluating the biofouling state and effects on vessels’ hull and propeller performance: A review
I Valchev, A Coraddu, M Kalikatzarakis, R Geertsma, L Oneto
Ocean Engineering 251, 110883, 2022
Impact of SOFC Power Generation Plant on Carbon Intensity Index (CII) Calculation for Cruise Ships
M Gianni, A Pietra, A Coraddu, R Taccani
Journal of Marine Science and Engineering 10 (10), 1478, 2022
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