Dynamic model for AC and DC contactors - Simulation and experimental validation. - Jordi-Roger Riba Ruiz; Antoni García; Jordi Cusidó; Miguel Delgado Prieto (Simul. Model. Pract. Theory, 2011)

Feature Extraction of Demagnetization Faults in Permanent-Magnet Synchronous Motors Based on Box-Counting Fractal Dimension. - Miguel Delgado Prieto; Antonio Garcia Espinosa; Jordi-Roger Riba Ruiz; Julio César Urresty; Juan Antonio Ortega Redondo (IEEE Trans. Ind. Electron., 2011)

Accurate bearing faults classification based on statistical-time features, curvilinear component analysis and neural networks. - Miguel Delgado 002; Giansalvo Cirrincione; Antoni García; Juan Antonio Ortega 002; Humberto Henao (IECON, 2012)

Contributions to electromechanical systems diagnosis by means data fusion techniques. - Miguel Delgado Prieto (2012)

Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks. - Miguel Delgado Prieto; Giansalvo Cirrincione; Antonio Garcia Espinosa; Juan Antonio Ortega Redondo; Humberto Henao (IEEE Trans. Ind. Electron., 2013)

Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions. - Jesus A. Carino; Daniel Zurita; Miguel Delgado Prieto; Juan Antonio Ortega Redondo; René de Jesús Romero-Troncoso (ETFA, 2014)

Distributed neuro-fuzzy feature forecasting approach for condition monitoring. - Daniel Zurita; Jesus A. Carino; Miguel Delgado Prieto; Juan Antonio Ortega Redondo (ETFA, 2014)

Remaining useful life estimation of ball bearings by means of monotonic score calibration. - Jesus A. Carino; Daniel Zurita; Miguel Delgado Prieto; Juan Antonio Ortega Redondo; René de Jesús Romero-Troncoso (ICIT, 2015)

Enhanced load forecasting methodology by means of probabilistic prediction intervals estimation. - Enric Sala; Daniel Zurita; Konstantinos Kampouropoulos; Miguel Delgado Prieto; Luis Romeral (ICIT, 2015)

Time series forecasting by means of SOM aided Fuzzy Inference Systems. - Daniel Zurita; Jesus A. Carino; Enric Sala; Miguel Delgado Prieto; Juan A. Ortega (ICIT, 2015)

Disaggregation of HVAC load profiles for the monitoring of individual equipment. - Enric Sala; Konstantinos Kampouropoulos; Miguel Delgado Prieto; Luis Romeral (ETFA, 2016)

Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps. - Daniel Zurita; Enric Sala; Jesus A. Carino; Miguel Delgado Prieto; Juan Antonio Ortega Redondo (ETFA, 2016)

Intelligent monitoring of HVAC equipment by means of aggregated power analysis. - Enric Sala; Konstantinos Kampouropoulos; Miguel Delgado Prieto; Luis Romeral (IECON, 2016)

Occupancy forecasting for the reduction of HVAC energy consumption in smart buildings. - Enric Sala; Daniel Zurita; Konstantinos Kampouropoulos; Miguel Delgado Prieto; Luis Romeral (IECON, 2016)

Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis. - Jesus A. Carino; Miguel Delgado Prieto; Daniel Zurita; Marta Millán; Juan Antonio Ortega Redondo; René de Jesús Romero-Troncoso (IEEE Access, 2016)

Industrial Time Series Modelling by Means of the Neo-Fuzzy Neuron. - Daniel Zurita; Miguel Delgado Prieto; Jesus A. Carino; Juan Antonio Ortega Redondo; Guy Clerc (IEEE Access, 2016)

Self-Powered Wireless Sensor Applied to Gear Diagnosis Based on Acoustic Emission. - Miguel Delgado Prieto; Daniel Zurita Millan; Wensi Wang; Anderson Machado Ortiz; Juan Antonio Ortega Redondo; Luis Romeral Martinez (IEEE Trans. Instrum. Meas., 2016)

Chromatic Monitoring of Gear Mechanical Degradation Based on Acoustic Emission. - Miguel Delgado Prieto; Daniel Zurita Millan (IEEE Trans. Ind. Electron., 2017)

Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems. - Miguel Delgado Prieto; Jesus A. Carino; Juan Jose Saucedo Dorantes; Roque Alfredo Osornio-Rios; Luis Romeral; René de Jesús Romero-Troncoso (ETFA, 2018)

Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems. - Juan Jose Saucedo Dorantes; Miguel Delgado Prieto; Jesus Adolfo Carino-Corrales; Roque Alfredo Osornio-Rios; Luis Romeral Martinez; René de Jesús Romero-Troncoso (ETFA, 2018)

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)

Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery. - Jesus A. Carino; Miguel Delgado Prieto; José Antonio Iglesias 001; Araceli Sanchis; Daniel Zurita; Marta Millán; Juan Antonio Ortega Redondo; René de Jesús Romero-Troncoso (IEEE Access, 2018)

Thermography-Based Methodology for Multifault Diagnosis on Kinematic Chain. - Miguel Delgado Prieto; Jesus Adolfo Carino-Corrales; Juan Jose Saucedo Dorantes; René de Jesús Romero-Troncoso; Roque Alfredo Osornio-Rios (IEEE Trans. Ind. Informatics, 2018)

Multimodal Forecasting Methodology Applied to Industrial Process Monitoring. - Daniel Zurita; Miguel Delgado Prieto; Jesus A. Carino; Juan Antonio Ortega Redondo (IEEE Trans. Ind. Informatics, 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)

Condition monitoring approach based on dimensionality reduction techniques for detecting power quality disturbances in cogeneration systems. - Artvin Darien Gonzalez-Abreu; Juan Jose Saucedo Dorantes; Roque Alfredo Osornio-Rios; René de Jesús Romero-Troncoso; Miguel Delgado Prieto; Daniel Morinigo-Sotelo (ETFA, 2019)

Active Learning based Laboratory towards Engineering Education 4.0. - Miguel Delgado Prieto; Ángel Fernandez Sobrino; Lucia Ruiz Soto; David Romero; Pere Fibla Biosca; Luis Romeral Martinez (ETFA, 2019)

Performance Analysis of Acoustic Emission Hit Detection Methods Using Time Features. - Fernando Pinal Moctezuma; Miguel Delgado Prieto; Luis Romeral Martinez (IEEE Access, 2019)

Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine. - Juan Jose Saucedo Dorantes; Miguel Delgado Prieto; René de Jesús Romero-Troncoso; Roque Alfredo Osornio-Rios (Appl. Soft Comput., 2019)

Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples. - Hossam Selim; Miguel Delgado Prieto; José Trull; Luis Romeral; Crina Cojocaru (Sensors, 2019)

Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window. - Hossam Selim; José Trull; Miguel Delgado Prieto; Rubén Picó; Luis Romeral; Crina Cojocaru (Sensors, 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)

Support vector machine based novelty detection and FDD framework applied to building AHU systems. - Víctor Martínez-Viol; Eva M. Urbano; Konstantinos Kampouropoulos; Miguel Delgado Prieto; Luis Romeral (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)

Directional Ultrasound Source for Solid Materials Inspection: Diffraction Management in a Metallic Phononic Crystal. - Hossam Selim; Rubén Picó; José Trull; Miguel Delgado Prieto; Crina Cojocaru (Sensors, 2020)

Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults. - Juan Jose Saucedo Dorantes; Miguel Delgado Prieto; Roque Alfredo Osornio-Rios; René de Jesús Romero-Troncoso (IEEE Trans. Ind. Informatics, 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)

Power Disturbance Monitoring through Techniques for Novelty Detection on Wind Power and Photovoltaic Generation. - Artvin Darien Gonzalez-Abreu; Roque Alfredo Osornio-Rios; David Alejandro Elvira-Ortiz; Arturo Yosimar Jaen-Cuellar; Miguel Delgado Prieto; Jose Alfonso Antonino-Daviu (Sensors, 2023)