Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks MD Prieto, G Cirrincione, AG Espinosa, JA Ortega, H Henao IEEE Transactions on Industrial Electronics 60 (8), 3398-3407, 2012 | 544 | 2012 |
Detection of demagnetization faults in surface-mounted permanent magnet synchronous motors by means of the zero-sequence voltage component JC Urresty, JR Riba, M Delgado, L Romeral IEEE transactions on Energy conversion 27 (1), 42-51, 2011 | 211 | 2011 |
Feature extraction of demagnetization faults in permanent-magnet synchronous motors based on box-counting fractal dimension MD Prieto, AG Espinosa, JRR Ruiz, JC Urresty, JA Ortega IEEE Transactions on Industrial Electronics 58 (5), 1594-1605, 2010 | 111 | 2010 |
Detection of partial demagnetization fault in PMSMs operating under nonstationary conditions C Wang, MD Prieto, L Romeral, Z Chen, F Blaabjerg, X Liu IEEE Transactions on Magnetics 52 (7), 1-4, 2016 | 97 | 2016 |
Multifault diagnosis method applied to an electric machine based on high-dimensional feature reduction JJ Saucedo-Dorantes, M Delgado-Prieto, RA Osornio-Rios, ... IEEE Transactions on industry applications 53 (3), 3086-3097, 2016 | 93 | 2016 |
Multiple‐Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain JJ Saucedo-Dorantes, M Delgado-Prieto, JA Ortega-Redondo, ... Shock and Vibration 2016 (1), 5467643, 2016 | 92 | 2016 |
Fault detection and identification methodology under an incremental learning framework applied to industrial machinery JA Carino, M Delgado-Prieto, JA Iglesias, A Sanchis, D Zurita, M Millan, ... IEEE access 6, 49755-49766, 2018 | 51 | 2018 |
Self-powered wireless sensor applied to gear diagnosis based on acoustic emission MD Prieto, DZ Millan, W Wang, AM Ortiz, JAO Redondo, LR Martinez IEEE Transactions on Instrumentation and Measurement 65 (1), 15-24, 2015 | 50 | 2015 |
Activity-aware HVAC power demand forecasting E Sala-Cardoso, M Delgado-Prieto, K Kampouropoulos, L Romeral Energy and Buildings 170, 15-24, 2018 | 48 | 2018 |
Deep-learning-based methodology for fault diagnosis in electromechanical systems F Arellano-Espitia, M Delgado-Prieto, V Martinez-Viol, ... Sensors 20 (14), 3949, 2020 | 47 | 2020 |
Defect reconstruction by non-destructive testing with laser induced ultrasonic detection H Selim, M Delgado-Prieto, J Trull, R Pico, L Romeral, C Cojocaru Ultrasonics 101, 106000, 2020 | 46 | 2020 |
IntechOpen: London LR Martínez, RAO Rios, MD Prieto UK, 2020 | 46 | 2020 |
Industrial data-driven monitoring based on incremental learning applied to the detection of novel faults JJ Saucedo-Dorantes, M Delgado-Prieto, RA Osornio-Rios, ... IEEE Transactions on Industrial Informatics 16 (9), 5985-5995, 2020 | 44 | 2020 |
Predictive chiller operation: A data-driven loading and scheduling approach E Sala-Cardoso, M Delgado-Prieto, K Kampouropoulos, L Romeral Energy and Buildings 208, 109639, 2020 | 44 | 2020 |
Active learning based laboratory towards engineering education 4.0 MD Prieto, ÁF Sobrino, LR Soto, D Romero, PF Biosca, LR Martínez 2019 24th IEEE international conference on emerging technologies and factory …, 2019 | 44 | 2019 |
Enhanced industrial machinery condition monitoring methodology based on novelty detection and multi-modal analysis JA Carino, M Delgado-Prieto, D Zurita, M Millan, JAO Redondo, ... IEEE access 4, 7594-7604, 2016 | 38 | 2016 |
Remaining useful life estimation of ball bearings by means of monotonic score calibration JA Carino, D Zurita, M Delgado, JA Ortega, RJ Romero-Troncoso 2015 ieee international conference on industrial technology (icit), 1752-1758, 2015 | 35 | 2015 |
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine JJ Saucedo-Dorantes, M Delgado-Prieto, RDJ Romero-Troncoso, ... Applied Soft Computing 81, 105497, 2019 | 34 | 2019 |
Industrial time series modelling by means of the neo-fuzzy neuron D Zurita, M Delgado, JA Carino, JA Ortega, G Clerc IEEE access 4, 6151-6160, 2016 | 33 | 2016 |
Diagnosis methodology based on deep feature learning for fault identification in metallic, hybrid and ceramic bearings JJ Saucedo-Dorantes, F Arellano-Espitia, M Delgado-Prieto, ... Sensors 21 (17), 5832, 2021 | 32 | 2021 |