Andrea Coraddu
Title
Cited by
Cited by
Year
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
1132016
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
632017
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
552013
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
412014
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
382018
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
302018
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
282019
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
212015
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
202015
Vessels fuel consumption: A data analytics perspective to sustainability
A Coraddu, L Oneto, F Baldi, D Anguita
Soft computing for sustainability science, 11-48, 2018
162018
Integration of seakeeping and powering computational techniques with meteo-marine forecasting data for in-service ship energy assessment
A Coraddu, M Figari, S Savio, D Villa, A Orlandi
Developments in Maritime Transportation and Exploitation of Sea Resources …, 2013
162013
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
132019
Unsupervised deep learning for induction motor bearings monitoring
F Cipollini, L Oneto, A Coraddu, S Savio
Data-Enabled Discovery and Applications 3 (1), 1, 2019
102019
Experimental investigation of asymmetrical propeller behavior of twin screw ships during maneuvers
A Coraddu, G Dubbioso, S Mauro, M Viviani
Proceedings of international conference on marine simulation and ship …, 2012
92012
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
72019
Unintrusive monitoring of induction motors bearings via deep learning on stator currents
F Cipollini, L Oneto, A Coraddu, S Savio, D Anguita
Procedia computer science 144, 42-51, 2018
72018
Vessel monitoring and design in industry 4.0: A data driven perspective
L Oneto, D Anguita, A Coraddu, T Cleophas, K Xepapa
2016 IEEE 2nd International Forum on Research and Technologies for Society …, 2016
62016
Investigation about wave profile effects on ship stability
A Coraddu, P Gualeni, D Villa
Sustainable Maritime Transportation and Exploitation of Sea Resources, 143, 2011
62011
A new approach in engine-propeller matching
A Coraddu, S Gaggero, D Villa, M Figari
Sustainable Maritime Transportation and Exploitation of Sea Resources 631 …, 2011
62011
Investigation of asymmetrical shaft power increase during ship maneuvers by means of simulation techniques
G Dubbioso, A Coraddu, M Viviani, M Figari, S Mauro, R Depascale, ...
COPPE-URRJ 1, 172-181, 2010
52010
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Articles 1–20