Seguir
Miguel Delgado Prieto
Miguel Delgado Prieto
Universitat Politècnica de Catalunya, Automatic Control Department
Dirección de correo verificada de upc.edu
Título
Citado por
Citado por
Año
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
5222012
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
2022011
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
1042010
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
912016
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
842016
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, 2016
832016
IntechOpen: London
LR Martínez, RAO Rios, MD Prieto
UK, 2020
492020
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
492015
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
452018
Activity-aware HVAC power demand forecasting
E Sala-Cardoso, M Delgado-Prieto, K Kampouropoulos, L Romeral
Energy and Buildings 170, 15-24, 2018
442018
Deep-learning-based methodology for fault diagnosis in electromechanical systems
F Arellano-Espitia, M Delgado-Prieto, V Martinez-Viol, ...
Sensors 20 (14), 3949, 2020
382020
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
382020
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
372019
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
362020
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
352020
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
342015
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
302016
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
302016
Dynamic model for AC and DC contactors–simulation and experimental validation
JR Riba, A Garcia, J Cusidó, M Delgado
Simulation Modelling Practice and Theory 19 (9), 1918-1932, 2011
302011
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
272019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20