Diego Cabrera Mendieta
Diego Cabrera Mendieta
Professor of Computer Science - Universidad Politécnica Salesiana Ecuador
Dirección de correo verificada de ups.edu.ec - Página principal
TítuloCitado porAño
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
C Li, RV Sanchez, G Zurita, M Cerrada, D Cabrera, R Vásquez
Neurocomputing, 2015
1432015
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
C Li, RV Sanchez, G Zurita, M Cerrada, D Cabrera, RE Vásquez
Mechanical Systems and Signal Processing 76, 283-293, 2016
1252016
A review on data-driven fault severity assessment in rolling bearings
M Cerrada, RV Sánchez, C Li, F Pacheco, D Cabrera, JV de Oliveira, ...
Mechanical Systems and Signal Processing 99, 169-196, 2018
1002018
Fault diagnosis in spur gears based on genetic algorithm and random forest
M Cerrada, G Zurita, D Cabrera, RV Sánchez, M Artés, C Li
Mechanical Systems and Signal Processing 70, 87-103, 2016
892016
Fault diagnosis for rotating machinery using vibration measurement deep statistical feature learning
C Li, RV Sánchez, G Zurita, M Cerrada, D Cabrera
Sensors 16 (6), 895, 2016
812016
Extracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram
C Li, D Cabrera, JV de Oliveira, RV Sanchez, M Cerrada, G Zurita
Mechanical Systems and Signal Processing 76, 157-173, 2016
682016
Rolling element bearing defect detection using the generalized synchrosqueezing transform guided by time–frequency ridge enhancement
C Li, V Sanchez, G Zurita, MC Lozada, D Cabrera
ISA transactions 60, 274-284, 2016
572016
Multi-stage feature selection by using genetic algorithms for fault diagnosis in gearboxes based on vibration signal
M Cerrada, R Sánchez, D Cabrera, G Zurita, C Li
Sensors 15 (9), 23903-23926, 2015
502015
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
F Pacheco, M Cerrada, RV Sánchez, D Cabrera, C Li, JV de Oliveira
Expert Systems with Applications 71, 69-86, 2017
372017
A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
F Pacheco, JV de Oliveira, RV Sánchez, M Cerrada, D Cabrera, C Li, ...
Neurocomputing 194, 192-206, 2016
342016
Hierarchical feature selection based on relative dependency for gear fault diagnosis
M Cerrada, RV Sánchez, F Pacheco, D Cabrera, G Zurita, C Li
Applied Intelligence 44 (3), 687-703, 2016
322016
Observer-biased bearing condition monitoring: From fault detection to multi-fault classification
C Li, JV de Oliveira, M Cerrada, F Pacheco, D Cabrera, V Sanchez, ...
Engineering Applications of Artificial Intelligence 50, 287-301, 2016
282016
A systematic review of fuzzy formalisms for bearing fault diagnosis
C Li, JLV de Oliveira, MC Lozada, D Cabrera, V Sanchez, G Zurita
IEEE Transactions on Fuzzy Systems, 2018
262018
Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation
D Cabrera, F Sancho, C Li, M Cerrada, RV Sánchez, F Pacheco, ...
Applied Soft Computing 58, 53-64, 2017
242017
Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
D Cabrera, F Sancho, RV Sánchez, G Zurita, M Cerrada, C Li, ...
Frontiers of Mechanical Engineering 10 (3), 277-286, 2015
212015
A comparison of fuzzy clustering algorithms for bearing fault diagnosis
C Li, M Cerrada, D Cabrera, RV Sanchez, F Pacheco, G Ulutagay, ...
Journal of Intelligent & Fuzzy Systems 34 (6), 3565-3580, 2018
202018
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification
C Li, L Ledo, M Delgado, M Cerrada, F Pacheco, D Cabrera, RV Sánchez, ...
Knowledge-based systems 129, 39-60, 2017
202017
Fuzzy determination of informative frequency band for bearing fault detection
C Li, J Valente de Oliveira, RV Sanchez, M Cerrada, G Zurita, D Cabrera
Journal of Intelligent & Fuzzy Systems 30 (6), 3513-3525, 2016
172016
A fuzzy transition based approach for fault severity prediction in helical gearboxes
M Cerrada, C Li, RV Sánchez, F Pacheco, D Cabrera, JV de Oliveira
Fuzzy Sets and Systems 337, 52-73, 2018
112018
Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN
RV Sánchez, P Lucero, RE Vásquez, M Cerrada, JC Macancela, ...
Journal of Intelligent & Fuzzy Systems 34 (6), 3463-3473, 2018
82018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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