Francisco Arellano-Espitia

Francisco Arellano-Espitia

Universitat Politècnica de Catalunya BarcelonaTech - Barcelona / Spain
Engineering & Technology / Electrical & Electronic Engineering
AD Scientific Index ID: 5328339
Polytechnic University of Catalonia
person_outline Francisco Arellano-Espitia's MOST POPULAR ARTICLES
1-) Deep-learning-based methodology for fault diagnosis in electromechanical systemsF Arellano-Espitia, M Delgado-Prieto, V Martinez-Viol, ...Sensors 20 (14), 3949, 2020402020
2-) Diagnosis methodology based on deep feature learning for fault identification in metallic, hybrid and ceramic bearingsJJ Saucedo-Dorantes, F Arellano-Espitia, M Delgado-Prieto, ...Sensors 21 (17), 5832, 2021272021
3-) Deep-compact-clustering based anomaly detection applied to electromechanical industrial systemsF Arellano-Espitia, M Delgado-Prieto, AD Gonzalez-Abreu, ...Sensors 21 (17), 5830, 2021132021
4-) Diagnosis electromechanical system by means CNN and SAE: An interpretable-learning studyF Arellano-Espitia, M Delgado-Prieto, V Martínez-Viol, ...2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems …, 202272022
5-) Anomaly detection in electromechanical systems by means of deep-autoencoderF Arellano–Espitia, M Delgado–Prieto, V Martínez–Viol, ...2021 26th IEEE International Conference on Emerging Technologies and Factory …, 202162021