Mariela Cerrada Lozada
Mariela Cerrada Lozada
Dirección de correo verificada de
Citado por
Citado por
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
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
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
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
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
Agents-based design for fault management systems in industrial processes
M Cerrada, J Cardillo, J Aguilar, R Faneite
Computers in Industry 58 (4), 313-328, 2007
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
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
Multi-stage feature selection by using genetic algorithms for fault diagnosis in gearboxes based on vibration signal
M Cerrada, RV Sánchez, D Cabrera, G Zurita, C Li
Sensors 15 (9), 23903-23926, 2015
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
A systematic review of fuzzy formalisms for bearing fault diagnosis
C Li, JV De Oliveira, M Cerrada, D Cabrera, RV Sánchez, G Zurita
IEEE Transactions on Fuzzy Systems 27 (7), 1362-1382, 2018
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
Dynamical membership functions: an approach for adaptive fuzzy modelling
M Cerrada, J Aguilar, E Colina, A Titli
Fuzzy Sets and Systems 152 (3), 513-533, 2005
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
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
Sistemas MultiAgentes y sus Aplicaciones en Automatizaci on Industrial
J Aguilar, AR BOLIVAR, F Hidrobo, M Cerrada
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
Una metodología para el Modelado de Sistemas de Ingeniería Orientado a Agentes
J Aguilar, I Bessembel, M Cerrada, F Hidrobo, F Narciso
Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial …, 2008
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
A multiagent model for intelligent distributed control systems
J Aguilar, M Cerrada, G Mousalli, F Rivas, F Hidrobo
International Conference on Knowledge-Based and Intelligent Information and …, 2005
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20