Francisco Arellano-Espitia
Orcid: 0000-0001-5841-0561
According to our database1,
Francisco Arellano-Espitia
authored at least 10 papers
between 2018 and 2023.
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Bibliography
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
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021
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
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
Proceedings of the IEEE International Conference on Industrial Technology, 2018