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ORCIDJuan Jose Saucedo Dorantes
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2020 – today
- 2023
[j8]David Alejandro Elvira-Ortiz
, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, René de Jesús Romero-Troncoso:
An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels in Gearboxes. Entropy 25(3): 424 (2023)- [j7]Carlos Gustavo Manriquez-Padilla, Isaias Cueva-Perez, Aurelio Dominguez-Gonzalez, David Alejandro Elvira-Ortiz, Angel Perez-Cruz, Juan José Saucedo-Dorantes:
State of Charge Estimation Model Based on Genetic Algorithms and Multivariate Linear Regression with Applications in Electric Vehicles. Sensors 23(6): 2924 (2023) - [c13]Francisco Arellano-Espitia, Miguel Delgado Prieto, Joan Valls-Perez, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios:
Deep Learning-Based Partial Transfer Fault Diagnosis Methodology for Electromechanical Systems. ETFA 2023: 1-6 - [c12]Roque Alfredo Osornio-Rios, Jonathan Cureño Osornio, Alvaro Ivan Alvarado-Hernandez, Israel Zamudio-Ramírez, Juan José Saucedo-Dorantes, Jose A. Antonino-Daviu:
Thermography-Based Method for the Fault Diagnosis of Magnetite-Contaminated Rolling Bearings. IECON 2023: 1-7 - 2022
- [c11]Francisco Arellano-Espitia, Miguel Delgado Prieto, Víctor Martínez-Viol, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios:
Diagnosis Electromechanical System by Means CNN and SAE: An Interpretable-Learning Study. ICPS 2022: 1-6 - 2021
- [j6]Francisco Arellano-Espitia, Miguel Delgado Prieto, Artvin Darien Gonzalez-Abreu, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios:
Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems. Sensors 21(17): 5830 (2021) - [j5]Juan Jose Saucedo Dorantes, Francisco Arellano-Espitia, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios:
Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings. Sensors 21(17): 5832 (2021) - [c10]David Checa, Andrés Bustillo, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Irving Armando Cruz-Albarrán:
Virtual reality-based tool applied in the teaching and training of condition-based maintenance in induction motors. IECON 2021: 1-6 - 2020
- [j4]Francisco Arellano-Espitia, Miguel Delgado Prieto, Víctor Martínez-Viol, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios:
Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems. Sensors 20(14): 3949 (2020) - [j3]Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios, René de Jesús Romero-Troncoso:
Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults. IEEE Trans. Ind. Informatics 16(9): 5985-5995 (2020) - [c9]Francisco Arellano-Espitia, Artvin Darien Gonzalez-Abreu, Miguel Delgado Prieto, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios:
Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems. ETFA 2020: 1419-1422 - [c8]Artvin Darien Gonzalez-Abreu, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios, Francisco Arellano-Espitia, Miguel Delgado Prieto:
Deep Learning based Condition Monitoring approach applied to Power Quality. ETFA 2020: 1427-1430
2010 – 2019
- 2019
- [j2]Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, René de Jesús Romero-Troncoso, Roque Alfredo Osornio-Rios:
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine. Appl. Soft Comput. 81 (2019) - [c7]Francisco Arellano-Espitia, Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios:
Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring. ETFA 2019: 891-897 - [c6]Artvin Darien Gonzalez-Abreu, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, René de Jesús Romero-Troncoso, Miguel Delgado Prieto, Daniel Morinigo-Sotelo:
Condition monitoring approach based on dimensionality reduction techniques for detecting power quality disturbances in cogeneration systems. ETFA 2019: 898-903 - 2018
- [j1]Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, Juan Jose Saucedo Dorantes, René de Jesús Romero-Troncoso, Roque Alfredo Osornio-Rios:
Thermography-Based Methodology for Multifault Diagnosis on Kinematic Chain. IEEE Trans. Ind. Informatics 14(12): 5553-5562 (2018) - [c5]Miguel Delgado Prieto, Jesus A. Carino, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Luis Romeral, René de Jesús Romero-Troncoso:
Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems. ETFA 2018: 1213-1216 - [c4]Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, Roque Alfredo Osornio-Rios, Luis Romeral Martinez, René de Jesús Romero-Troncoso:
Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems. ETFA 2018: 1359-1364 - [c3]Francisco Arellano-Espitia, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, René de Jesús Romero-Troncoso:
Statistical data fusion as diagnosis scheme applied to a kinematic chain. ICIT 2018: 2111-2118 - 2014
- [c2]Juan Jose Saucedo Dorantes, Armando Guadalupe Garcia-Ramirez, Juan Carlos Jáuregui-Correa, Roque Alfredo Osornio-Rios, Arturo Garcia-Perez, René de Jesús Romero-Troncoso:
Reliable methodology for gearbox wear monitoring based on vibration analysis. IECON 2014: 3381-3385 - 2013
- [c1]Gustavo Aguilar Alvarez, Luis Alberto Morales-Hernández, Luis Morales-Velazquez, Juan Jose Saucedo Dorantes:
Design and control of a mechatronic system for the homogenization of compost in anaerobic digesters. CONIELECOMP 2013: 198-202
Coauthor Index
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