| Deep learning enabled fault diagnosis using time‐frequency image analysis of rolling element bearings D Verstraete, A Ferrada, EL Droguett, V Meruane, M Modarres Shock and Vibration 2017 (1), 5067651, 2017 | 455 | 2017 |
| An hybrid real genetic algorithm to detect structural damage using modal properties V Meruane, W Heylen Mechanical systems and signal processing 25 (5), 1559-1573, 2011 | 227 | 2011 |
| Convolutional neural networks for automated damage recognition and damage type identification C Modarres, N Astorga, EL Droguett, V Meruane Structural Control and Health Monitoring 25 (10), e2230, 2018 | 175 | 2018 |
| Identification of nonlinear dynamic coefficients in plain journal bearings V Meruane, R Pascual Tribology International 41 (8), 743-754, 2008 | 135 | 2008 |
| Structural damage assessment under varying temperature conditions V Meruane, W Heylen Structural Health Monitoring 11 (3), 345-357, 2012 | 91 | 2012 |
| Damage detection with parallel genetic algorithms and operational modes V Meruane, W Heylen Structural Health Monitoring 9 (6), 481-496, 2010 | 86 | 2010 |
| The effect of molecular weight and hydrolysis degree of poly (vinyl alcohol)(PVA) on the thermal and mechanical properties of poly (lactic acid)/PVA blends I Restrepo, C Medina, V Meruane, A Akbari-Fakhrabadi, P Flores, ... Polímeros 28, 169-177, 2018 | 85 | 2018 |
| Deep Convolutional Neural Network‐Based Structural Damage Localization and Quantification Using Transmissibility Data S Cofre-Martel, P Kobrich, E Lopez Droguett, V Meruane Shock and Vibration 2019 (1), 9859281, 2019 | 79 | 2019 |
| On the effect of downtime costs and budget constraint on preventive and replacement policies R Pascual, V Meruane, PA Rey Reliability Engineering & System Safety 93 (1), 144-151, 2008 | 79 | 2008 |
| Damage assessment in a sandwich panel based on full-field vibration measurements F Seguel, V Meruane Journal of Sound and Vibration 417, 1-18, 2018 | 76 | 2018 |
| Model updating using antiresonant frequencies identified from transmissibility functions V Meruane Journal of Sound and Vibration 332 (4), 807-820, 2013 | 75 | 2013 |
| Similitudes for the structural response of flexural plates S De Rosa, F Franco, V Meruane Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2016 | 69 | 2016 |
| Ensemble classification method for structural damage assessment under varying temperature M Fallahian, F Khoshnoudian, V Meruane Structural Health Monitoring 17 (4), 747-762, 2018 | 60 | 2018 |
| Real‐Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies V Meruane, J Mahu Shock and Vibration 2014 (1), 653279, 2014 | 58 | 2014 |
| Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings DB Verstraete, EL Droguett, V Meruane, M Modarres, A Ferrada Structural Health Monitoring 19 (2), 390-411, 2020 | 53 | 2020 |
| Structural damage assessment with antiresonances versus mode shapes using parallel genetic algorithms V Meruane, W Heylen Structural Control and Health Monitoring 18 (8), 825-839, 2011 | 49 | 2011 |
| Mechanical properties updating of a non-uniform natural fibre composite panel by means of a parallel genetic algorithm G Petrone, V Meruane Composites Part A: Applied Science and Manufacturing 94, 226-233, 2017 | 40 | 2017 |
| A Broadband Vibration‐Based Energy Harvester Using an Array of Piezoelectric Beams Connected by Springs V Meruane, K Pichara Shock and vibration 2016 (1), 9614842, 2016 | 40 | 2016 |
| Structural damage assessment using linear approximation with maximum entropy and transmissibility data V Meruane, A Ortiz-Bernardin Mechanical Systems and Signal Processing 54, 210-223, 2015 | 40 | 2015 |
| Hydrological early warning system based on a deep learning runoff model coupled with a meteorological forecast A de la Fuente, V Meruane, C Meruane Water 11 (9), 1808, 2019 | 36 | 2019 |
