Obserwuj
Miguel Delgado Prieto
Miguel Delgado Prieto
Universitat Politècnica de Catalunya, Automatic Control Department
Zweryfikowany adres z upc.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
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
5442012
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
2112011
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
1112010
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
972016
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
932016
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
922016
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
512018
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
502015
Activity-aware HVAC power demand forecasting
E Sala-Cardoso, M Delgado-Prieto, K Kampouropoulos, L Romeral
Energy and Buildings 170, 15-24, 2018
482018
Deep-learning-based methodology for fault diagnosis in electromechanical systems
F Arellano-Espitia, M Delgado-Prieto, V Martinez-Viol, ...
Sensors 20 (14), 3949, 2020
472020
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
462020
IntechOpen: London
LR Martínez, RAO Rios, MD Prieto
UK, 2020
462020
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
442020
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
442020
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
442019
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
382016
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
352015
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
342019
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
332016
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
322021
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