Juan Jose Saucedo-Dorantes
Juan Jose Saucedo-Dorantes
Universidad Autonoma de Queretaro
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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
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
Deep-learning-based methodology for fault diagnosis in electromechanical systems
F Arellano-Espitia, M Delgado-Prieto, V Martinez-Viol, ...
Sensors 20 (14), 3949, 2020
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
Novel methodology for condition monitoring of gear wear using supervised learning and infrared thermography
E Resendiz-Ochoa, JJ Saucedo-Dorantes, JP Benitez-Rangel, ...
Applied Sciences 10 (2), 506, 2020
Early and extremely early multi-label fault diagnosis in induction motors
M Juez-Gil, JJ Saucedo-Dorantes, Á Arnaiz-González, C López-Nozal, ...
ISA transactions 106, 367-381, 2020
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
A novel deep learning-based diagnosis method applied to power quality disturbances
AD Gonzalez-Abreu, M Delgado-Prieto, RA Osornio-Rios, ...
Energies 14 (10), 2839, 2021
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
Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an induction motor
JJ Saucedo-Dorantes, AY Jaen-Cuellar, M Delgado-Prieto, ...
Measurement 178, 109404, 2021
Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction
JJ Saucedo-Dorantes, M Delgado-Prieto, RA Osornio-Rios, ...
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2018
Virtual reality training application for the condition-based maintenance of induction motors
D Checa, JJ Saucedo-Dorantes, RA Osornio-Rios, JA Antonino-Daviu, ...
Applied Sciences 12 (1), 414, 2022
Condition monitoring method for the detection of fault graduality in outer race bearing based on vibration-current fusion, statistical features and neural network
JJ Saucedo-Dorantes, I Zamudio-Ramirez, J Cureno-Osornio, ...
Applied Sciences 11 (17), 8033, 2021
Thermography-based methodology for multifault diagnosis on kinematic chain
M Delgado-Prieto, JA Carino-Corrales, JJ Saucedo-Dorantes, ...
IEEE Transactions on Industrial Informatics 14 (12), 5553-5562, 2018
Gradual wear diagnosis of outer-race rolling bearing faults through artificial intelligence methods and stray flux signals
I Zamudio-Ramirez, RA Osornio-Rios, JA Antonino-Daviu, ...
Electronics 10 (12), 1486, 2021
Vibration signal forecasting on rotating machinery by means of signal decomposition and neurofuzzy modeling
D Zurita-Millán, M Delgado-Prieto, JJ Saucedo-Dorantes, ...
Shock and Vibration 2016, 2016
Deep-compact-clustering based anomaly detection applied to electromechanical industrial systems
F Arellano-Espitia, M Delgado-Prieto, AD Gonzalez-Abreu, ...
Sensors 21 (17), 5830, 2021
Power quality monitoring strategy based on an optimized Multi-domain feature selection for the detection and classification of disturbances in wind generators
DA Elvira-Ortiz, JJ Saucedo-Dorantes, RA Osornio-Rios, ...
Electronics 11 (2), 287, 2022
Vibration-based adaptive novelty detection method for monitoring faults in a kinematic chain
JA Cariño-Corrales, JJ Saucedo-Dorantes, D Zurita-Millan, ...
Shock and vibration 2016, 2016
State of charge estimation model based on genetic algorithms and multivariate linear regression with applications in Electric vehicles
CG Manriquez-Padilla, I Cueva-Perez, A Dominguez-Gonzalez, ...
Sensors 23 (6), 2924, 2023
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