René-Vinicio Sánchez Loja
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, RE Vásquez
Neurocomputing 168, 119-127, 2015
1512015
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
1392016
Gearbox fault identification and classification with convolutional neural networks
ZQ Chen, C Li, RV Sanchez
Shock and Vibration 2015, 2015
1262015
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
1132018
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
972016
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
912016
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
702016
Deep neural networks-based rolling bearing fault diagnosis
Z Chen, S Deng, X Chen, C Li, RV Sanchez, H Qin
Microelectronics Reliability 75, 327-333, 2017
642017
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
622016
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
532015
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
432017
Multi-layer neural network with deep belief network for gearbox fault diagnosis
Z Chen, C Li, RV Sánchez
Journal of Vibroengineering 17 (5), 2379-2392, 2015
362015
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
352016
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
342016
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
322018
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
312016
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
292018
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
262017
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
242015
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
222017
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