| Multifault diagnosis method applied to an electric machine based on high-dimensional feature reduction JJ Saucedo-Dorantes, M Delgado-Prieto, RA Osornio-Rios, ... IEEE Transactions on industry applications 53 (3), 3086-3097, 2016 | 93 | 2016 |
| Multiple‐Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain JJ Saucedo-Dorantes, M Delgado-Prieto, JA Ortega-Redondo, ... Shock and Vibration 2016 (1), 5467643, 2016 | 92 | 2016 |
| Deep-learning-based methodology for fault diagnosis in electromechanical systems F Arellano-Espitia, M Delgado-Prieto, V Martinez-Viol, ... Sensors 20 (14), 3949, 2020 | 46 | 2020 |
| Industrial data-driven monitoring based on incremental learning applied to the detection of novel faults JJ Saucedo-Dorantes, M Delgado-Prieto, RA Osornio-Rios, ... IEEE Transactions on Industrial Informatics 16 (9), 5985-5995, 2020 | 41 | 2020 |
| Novel methodology for condition monitoring of gear wear using supervised learning and infrared thermography E Resendiz-Ochoa, JJ Saucedo-Dorantes, JP Benitez-Rangel, ... Applied Sciences 10 (2), 506, 2020 | 39 | 2020 |
| Early and extremely early multi-label fault diagnosis in induction motors M Juez-Gil, JJ Saucedo-Dorantes, Á Arnaiz-González, C López-Nozal, ... ISA transactions 106, 367-381, 2020 | 33 | 2020 |
| Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine JJ Saucedo-Dorantes, M Delgado-Prieto, RDJ Romero-Troncoso, ... Applied Soft Computing 81, 105497, 2019 | 33 | 2019 |
| 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 | 32 | 2021 |
| Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an induction motor JJ Saucedo-Dorantes, AY Jaen-Cuellar, M Delgado-Prieto, ... Measurement 178, 109404, 2021 | 31 | 2021 |
| A novel deep learning-based diagnosis method applied to power quality disturbances AD Gonzalez-Abreu, M Delgado-Prieto, RA Osornio-Rios, ... Energies 14 (10), 2839, 2021 | 30 | 2021 |
| Condition monitoring method for the detection of fault graduality in outer race bearing based on vibration-current fusion, statistical features and neural network JJ Saucedo-Dorantes, I Zamudio-Ramirez, J Cureno-Osornio, ... Applied Sciences 11 (17), 8033, 2021 | 28 | 2021 |
| Virtual reality training application for the condition-based maintenance of induction motors D Checa, JJ Saucedo-Dorantes, RA Osornio-Rios, JA Antonino-Daviu, ... Applied Sciences 12 (1), 414, 2022 | 26 | 2022 |
| Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction JJ Saucedo-Dorantes, M Delgado-Prieto, RA Osornio-Rios, ... Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2018 | 26 | 2018 |
| Thermography-based methodology for multifault diagnosis on kinematic chain M Delgado-Prieto, JA Carino-Corrales, JJ Saucedo-Dorantes, ... IEEE Transactions on Industrial Informatics 14 (12), 5553-5562, 2018 | 22 | 2018 |
| Gradual wear diagnosis of outer-race rolling bearing faults through artificial intelligence methods and stray flux signals I Zamudio-Ramirez, RA Osornio-Rios, JA Antonino-Daviu, ... Electronics 10 (12), 1486, 2021 | 21 | 2021 |
| State of charge estimation model based on genetic algorithms and multivariate linear regression with applications in electric vehicles CG Manriquez-Padilla, I Cueva-Perez, A Dominguez-Gonzalez, ... Sensors 23 (6), 2924, 2023 | 16 | 2023 |
| 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 | 15 | 2021 |
| Vibration signal forecasting on rotating machinery by means of signal decomposition and neurofuzzy modeling D Zurita-Millán, M Delgado-Prieto, JJ Saucedo-Dorantes, ... Shock and Vibration 2016 (1), 2683269, 2016 | 14 | 2016 |
| Statistical machine learning strategy and data fusion for detecting incipient ITSC faults in IM AY Jaen-Cuellar, DA Elvira-Ortiz, JJ Saucedo-Dorantes Machines 11 (7), 720, 2023 | 10 | 2023 |
| An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels in Gearboxes DA Elvira-Ortiz, JJ Saucedo-Dorantes, RA Osornio-Rios, ... Entropy 25 (3), 424, 2023 | 10 | 2023 |
