Statistical data fusion as diagnosis scheme applied to a kinematic chain. - Francisco Arellano-Espitia; Juan Jose Saucedo Dorantes; Roque Alfredo Osornio-Rios; Miguel Delgado Prieto; Jesus Adolfo Carino-Corrales; René de Jesús Romero-Troncoso (ICIT, 2018)

Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring. - Francisco Arellano-Espitia; Juan Jose Saucedo Dorantes; Miguel Delgado Prieto; Roque Alfredo Osornio-Rios (ETFA, 2019)

Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems. - Francisco Arellano-Espitia; Artvin Darien Gonzalez-Abreu; Miguel Delgado Prieto; Juan José Saucedo-Dorantes; Roque Alfredo Osornio-Rios (ETFA, 2020)

Deep Learning based Condition Monitoring approach applied to Power Quality. - Artvin Darien Gonzalez-Abreu; Juan José Saucedo-Dorantes; Roque Alfredo Osornio-Rios; Francisco Arellano-Espitia; Miguel Delgado Prieto (ETFA, 2020)

Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems. - Francisco Arellano-Espitia; Miguel Delgado Prieto; Víctor Martínez-Viol; Juan Jose Saucedo Dorantes; Roque Alfredo Osornio-Rios (Sensors, 2020)

Anomaly Detection in Electromechanical Systems by means of Deep-Autoencoder. - Francisco Arellano-Espitia; Miguel Delgado Prieto; Víctor Martínez-Viol; Ángel Fernandez Sobrino; Roque Alfredo Osornio-Rios (ETFA, 2021)

Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems. - Francisco Arellano-Espitia; Miguel Delgado Prieto; Artvin Darien Gonzalez-Abreu; Juan Jose Saucedo Dorantes; Roque Alfredo Osornio-Rios (Sensors, 2021)

Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings. - Juan Jose Saucedo Dorantes; Francisco Arellano-Espitia; Miguel Delgado Prieto; Roque Alfredo Osornio-Rios (Sensors, 2021)

Diagnosis Electromechanical System by Means CNN and SAE: An Interpretable-Learning Study. - Francisco Arellano-Espitia; Miguel Delgado Prieto; Víctor Martínez-Viol; Juan Jose Saucedo Dorantes; Roque Alfredo Osornio-Rios (ICPS, 2022)

Deep Learning-Based Partial Transfer Fault Diagnosis Methodology for Electromechanical Systems. - Francisco Arellano-Espitia; Miguel Delgado Prieto; Joan Valls-Perez; Juan Jose Saucedo Dorantes; Roque Alfredo Osornio-Rios (ETFA, 2023)

Deep learning based methodologies applied to industrial electromechanical systems monitoring - Francisco Arellano-Espitia (2024)