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Article

Velasco-Gallego, Christian and Lazakis, Iraklis and Cubo-Mateo, Nieves (2024) Development of a hierarchical clustering method for anomaly identification and labelling of marine machinery data. Journal of Marine Science and Engineering, 12 (10). 1792. ISSN 2077-1312

Velasco-Gallego, Christian and Lazakis, Iraklis (2022) Development of a time series imaging approach for fault classification of marine systems. Ocean Engineering, 263. 112297. ISSN 0029-8018

Velasco-Gallego, Christian and Lazakis, Iraklis (2022) RADIS : a real-time anomaly detection intelligent system for fault diagnosis of marine machinery. Expert Systems with Applications, 204. 117634. ISSN 0957-4174

Velasco-Gallego, Christian and Lazakis, Iraklis (2022) Analysis of variational autoencoders for imputing missing values from sensor data of marine systems. Journal of Ship Research, 66 (3). 193–203. ISSN 0022-4502

Velasco-Gallego, Christian and Lazakis, Iraklis (2022) A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems. Ships and Offshore Structures, 17 (8). pp. 1802-1811. ISSN 1754-212X

Velasco-Gallego, Christian and Lazakis, Iraklis (2022) A real-time data-driven framework for the identification of steady states of marine machinery. Applied Ocean Research, 121. 103052. ISSN 0141-1187

Velasco, Christian and Lazakis, Iraklis (2020) Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study. Ocean Engineering, 218. 108261. ISSN 0029-8018

Book Section

Velasco, Christian and Lazakis, Iraklis; Leva, Maria Chiara and Patelli, Edoardo and Podofillini, Luca and Wilson, Simon, eds. (2022) Analysis of time series imaging approaches for the application of fault classification of marine systems. In: Proceedings of the 32nd European Safety and Reliability Conference. Research Publishing, IRL. ISBN 9819730000000

Velasco-Gallego, C and Lazakis, I; (2021) Data imputation of missing values from marine systems sensor data. Evaluation, visualisation, and sensor failure detection. In: RINA Maritime Innovation and Emerging Technologies Online Conference 2021 Proceedings. Royal Institution of Naval Architects, London.

Conference or Workshop Item

Velasco-Gallego, Christian and Lazakis, Iraklis (2021) A real-time semi-supervised anomaly detection framework for fault diagnosis of marine machinery systems. In: SNAME WES Paper Contest 2021, 2021-06-10 - 2021-06-11, London.