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Andrea Coraddu
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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
2112016
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
1972019
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
1802017
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
862018
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
782013
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
762020
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
722018
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
552014
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
492019
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
422015
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
372019
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
362021
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
302020
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
302019
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
292022
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
292017
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
292015
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
222022
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
222022
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
202022
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