| Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study C Velasco-Gallego, I Lazakis Ocean Engineering 218, 108261, 2020 | 72 | 2020 |
| RADIS: A real-time anomaly detection intelligent system for fault diagnosis of marine machinery C Velasco-Gallego, I Lazakis Expert Systems with Applications 204, 117634, 2022 | 41 | 2022 |
| A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems C Velasco-Gallego, I Lazakis Ships and Offshore Structures 17 (8), 1802-1811, 2022 | 22 | 2022 |
| Development of a time series imaging approach for fault classification of marine systems C Velasco-Gallego, I Lazakis Ocean Engineering 263, 112297, 2022 | 15 | 2022 |
| A real-time data-driven framework for the identification of steady states of marine machinery C Velasco-Gallego, I Lazakis Applied Ocean Research 121, 103052, 2022 | 15 | 2022 |
| Recent advancements in data-driven methodologies for the fault diagnosis and prognosis of marine systems: A systematic review C Velasco-Gallego, BN De Maya, CM Molina, I Lazakis, NC Mateo Ocean Engineering 284, 115277, 2023 | 9 | 2023 |
| Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery C Velasco-Gallego, I Lazakis Applied Ocean Research 140, 103735, 2023 | 4 | 2023 |
| Analysis of variational autoencoders for imputing missing values from sensor data of marine systems C Velasco-Gallego, I Lazakis Journal of Ship Research 66 (03), 193-203, 2022 | 4 | 2022 |
| Geospatial Analysis of Scour in Offshore Wind Farms C Matutano Molina, C Velasco-Gallego, N Portillo-Juan, ... Energies 16 (15), 5616, 2023 | 1 | 2023 |
| Analysis of Time Series Imaging Approaches for the Application of Fault Classification of Marine Systems C Velasco-Gallego, I Lazakis Proceedings of the 32nd European Safety and Reliability Conference, 1353-1362, 2022 | 1 | 2022 |
| Analysis of attention mechanisms for the prediction of ship fuel oil consumption C Velasco-Gallego, I Lazakis, V Polaki 63rd International Congress of Naval Architecture Marine Technology and …, 2024 | | 2024 |
| Development of a maintenance analytics framework for the diagnosis and prognosis of marine systems C Velasco-Gallego | | 2022 |
| A real-time semi-supervised anomaly detection framework for fault diagnosis of marine machinery systems C Velasco-Gallego, I Lazakis SNAME WES Paper Contest 2021, 2021 | | 2021 |
| Data imputation of missing values from marine systems sensor data. Evaluation, visualisation, and sensor failure detection C Velasco-Gallego, I Lazakis Royal Institution of Naval Architects Maritime Innovation and Emerging …, 2021 | | 2021 |
| Development of stochastic weather and failure elements for offshore wind farms operations and maintenance C Velasco Gallego Universitat Politècnica de Catalunya, 2018 | | 2018 |
| Ona: A Maintenance Analytics Framework for the Diagnosis and Prognosis of Marine Systems C Velasco Gallego, I Lazakis Available at SSRN 4282629, 0 | | |
| PreONA: A Data Pre-processing Tool for Marine Systems Sensor Data C Velasco-Gallego | | |
Iraklis LazakisProfessor in Maritime Operations and Maintenance, NAOME, University of Strathclyde在 strath.ac.uk 的电子邮件经过验证
