Juan Jose Saucedo Dorantes
Orcid: 0000-0001-9026-6694
According to our database1,
Juan Jose Saucedo Dorantes
authored at least 21 papers
between 2013 and 2023.
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Bibliography
2023
State of Charge Estimation Model Based on Genetic Algorithms and Multivariate Linear Regression with Applications in Electric Vehicles.
Sensors, March, 2023
An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels in Gearboxes.
Entropy, March, 2023
Thermography-Based Method for the Fault Diagnosis of Magnetite-Contaminated Rolling Bearings.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Deep Learning-Based Partial Transfer Fault Diagnosis Methodology for Electromechanical Systems.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023
2022
Diagnosis Electromechanical System by Means CNN and SAE: An Interpretable-Learning Study.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022
2021
Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings.
Sensors, 2021
Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems.
Sensors, 2021
Virtual reality-based tool applied in the teaching and training of condition-based maintenance in induction motors.
Proceedings of the IECON 2021, 2021
2020
Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults.
IEEE Trans. Ind. Informatics, 2020
Sensors, 2020
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
2019
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine.
Appl. Soft Comput., 2019
Condition monitoring approach based on dimensionality reduction techniques for detecting power quality disturbances in cogeneration systems.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019
Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019
2018
IEEE Trans. Ind. Informatics, 2018
Proceedings of the IEEE International Conference on Industrial Technology, 2018
Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018
Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018
2014
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014
2013
Design and control of a mechatronic system for the homogenization of compost in anaerobic digesters.
Proceedings of the 23rd International Conference on Electronics, 2013