| Deep-learning-based methodology for fault diagnosis in electromechanical systems F Arellano-Espitia, M Delgado-Prieto, V Martinez-Viol, ... Sensors 20 (14), 3949, 2020 | 43 | 2020 |
| 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 | 29 | 2021 |
| 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 | 14 | 2021 |
| Diagnosis electromechanical system by means CNN and SAE: An interpretable-learning study F Arellano-Espitia, M Delgado-Prieto, V Martínez-Viol, ... 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems …, 2022 | 5 | 2022 |
| Anomaly detection in electromechanical systems by means of deep-autoencoder F Arellano–Espitia, M Delgado–Prieto, V Martínez–Viol, ... 2021 26th IEEE International Conference on Emerging Technologies and Factory …, 2021 | 5 | 2021 |
| Deep learning based condition monitoring approach applied to power quality AD Gonzalez-Abreu, JJ Saucedo-Dorantes, RA Osornio-Rios, ... 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 5 | 2020 |
| Novel methods based on deep learning applied to condition monitoring in smart manufacturing processes FA Espitia, LR Soto New Trends in the Use of Artificial Intelligence for the Industry 4.0, 2020 | 5 | 2020 |
| Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring F Arellano-Espitia, JJ Saucedo, MD Prieto, RA Osornio-Rios 2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019 | 3 | 2019 |
| Evaluation of multiclass novelty detection algorithms for electric machine monitoring MR Chavez, LR Soto, FA Espitia, JJ Saucedo, MD Prieto, L Romeral 2019 IEEE 12th International Symposium on Diagnostics for Electrical …, 2019 | 3 | 2019 |
| Novel condition monitoring approach based on hybrid feature extraction and neural network for assessing multiple faults in electromechanical systems JJ Saucedo-Dorantes, RA Osornio-Rios, RJ Romero-Troncoso, ... 2019 IEEE 12th International Symposium on Diagnostics for Electrical …, 2019 | 3 | 2019 |
| Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems F Arellano-Espitia, AD Gonzalez-Abreu, MD Prieto, JJ Saucedo-Dorantes, ... 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 2 | 2020 |
| Statistical data fusion as diagnosis scheme applied to a kinematic chain F Arellano-Espitia, JJ Saucedo-Dorantes, RA Osornio-Rios, ... 2018 IEEE International Conference on Industrial Technology (ICIT), 2111-2118, 2018 | 2 | 2018 |
| Deep Learning-Based Partial Transfer Fault Diagnosis Methodology for Electromechanical Systems F Arellano-Espitia, M Delgado-Prieto, J Valls-Perez, ... 2023 IEEE 28th International Conference on Emerging Technologies and Factory …, 2023 | | 2023 |
Miguel Delgado PrietoUniversitat Politècnica de Catalunya, Automatic Control Department在 upc.edu 的电子邮件经过验证
