Miguel Delgado Prieto

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 33

Top Topics

Acoustic Emission

Condition Monitoring

Fuzzy Inference

Top Venues

Publications

Francisco Arellano-Espitia, Miguel Delgado Prieto, Joan Valls-Perez, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios
Deep Learning-Based Partial Transfer Fault Diagnosis Methodology for Electromechanical Systems. ETFA (2023)
Artvin Darien Gonzalez-Abreu, Roque Alfredo Osornio-Rios, David Alejandro Elvira-Ortiz, Arturo Yosimar Jaen-Cuellar, Miguel Delgado Prieto, Jose Alfonso Antonino-Daviu
Power Disturbance Monitoring through Techniques for Novelty Detection on Wind Power and Photovoltaic Generation. Sensors 23 (6) (2023)
Francisco Arellano-Espitia, Miguel Delgado Prieto, Víctor Martínez-Viol, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios
Diagnosis Electromechanical System by Means CNN and SAE: An Interpretable-Learning Study. ICPS (2022)
Juan Jose Saucedo Dorantes, Francisco Arellano-Espitia, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios
Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings. Sensors 21 (17) (2021)
Francisco Arellano-Espitia, Miguel Delgado Prieto, Víctor Martínez-Viol, Ángel Fernandez Sobrino, Roque Alfredo Osornio-Rios
Anomaly Detection in Electromechanical Systems by means of Deep-Autoencoder. ETFA (2021)
Francisco Arellano-Espitia, Miguel Delgado Prieto, Artvin Darien Gonzalez-Abreu, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios
Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems. Sensors 21 (17) (2021)
Hossam Selim, Rubén Picó, José Trull, Miguel Delgado Prieto, Crina Cojocaru
Directional Ultrasound Source for Solid Materials Inspection: Diffraction Management in a Metallic Phononic Crystal. Sensors 20 (21) (2020)
Francisco Arellano-Espitia, Artvin Darien Gonzalez-Abreu, Miguel Delgado Prieto, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios
Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems. ETFA (2020)
Artvin Darien Gonzalez-Abreu, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios, Francisco Arellano-Espitia, Miguel Delgado Prieto
Deep Learning based Condition Monitoring approach applied to Power Quality. ETFA (2020)
Francisco Arellano-Espitia, Miguel Delgado Prieto, Víctor Martínez-Viol, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios
Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems. Sensors 20 (14) (2020)
Víctor Martínez-Viol, Eva M. Urbano, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
Support vector machine based novelty detection and FDD framework applied to building AHU systems. ETFA (2020)
Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios, René de Jesús Romero-Troncoso
Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults. IEEE Trans. Ind. Informatics 16 (9) (2020)
Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, René de Jesús Romero-Troncoso, Roque Alfredo Osornio-Rios
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine. Appl. Soft Comput. 81 (2019)
Hossam Selim, Miguel Delgado Prieto, José Trull, Luis Romeral, Crina Cojocaru
Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples. Sensors 19 (3) (2019)
Artvin Darien Gonzalez-Abreu, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, René de Jesús Romero-Troncoso, Miguel Delgado Prieto, Daniel Morinigo-Sotelo
Condition monitoring approach based on dimensionality reduction techniques for detecting power quality disturbances in cogeneration systems. ETFA (2019)
Francisco Arellano-Espitia, Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios
Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring. ETFA (2019)
Hossam Selim, José Trull, Miguel Delgado Prieto, Rubén Picó, Luis Romeral, Crina Cojocaru
Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window. Sensors 19 (9) (2019)
Fernando Pinal Moctezuma, Miguel Delgado Prieto, Luis Romeral Martinez
Performance Analysis of Acoustic Emission Hit Detection Methods Using Time Features. IEEE Access 7 (2019)
Miguel Delgado Prieto, Ángel Fernandez Sobrino, Lucia Ruiz Soto, David Romero, Pere Fibla Biosca, Luis Romeral Martinez
Active Learning based Laboratory towards Engineering Education 4.0. ETFA (2019)
Jesus A. Carino, Miguel Delgado Prieto, José Antonio Iglesias, Araceli Sanchis, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery. IEEE Access 6 (2018)
Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, Roque Alfredo Osornio-Rios, Luis Romeral Martinez, René de Jesús Romero-Troncoso
Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems. ETFA (2018)
Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, Juan Jose Saucedo Dorantes, René de Jesús Romero-Troncoso, Roque Alfredo Osornio-Rios
Thermography-Based Methodology for Multifault Diagnosis on Kinematic Chain. IEEE Trans. Ind. Informatics 14 (12) (2018)
Daniel Zurita, Miguel Delgado Prieto, Jesus A. Carino, Juan Antonio Ortega Redondo
Multimodal Forecasting Methodology Applied to Industrial Process Monitoring. IEEE Trans. Ind. Informatics 14 (2) (2018)
Miguel Delgado Prieto, Jesus A. Carino, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Luis Romeral, René de Jesús Romero-Troncoso
Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems. ETFA (2018)
Francisco Arellano-Espitia, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, René de Jesús Romero-Troncoso
Statistical data fusion as diagnosis scheme applied to a kinematic chain. ICIT (2018)
Miguel Delgado Prieto, Daniel Zurita Millan
Chromatic Monitoring of Gear Mechanical Degradation Based on Acoustic Emission. IEEE Trans. Ind. Electron. 64 (11) (2017)
Miguel Delgado Prieto, Daniel Zurita Millan, Wensi Wang, Anderson Machado Ortiz, Juan Antonio Ortega Redondo, Luis Romeral Martinez
Self-Powered Wireless Sensor Applied to Gear Diagnosis Based on Acoustic Emission. IEEE Trans. Instrum. Meas. 65 (1) (2016)
Enric Sala, Daniel Zurita, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
Occupancy forecasting for the reduction of HVAC energy consumption in smart buildings. IECON (2016)
Jesus A. Carino, Miguel Delgado Prieto, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis. IEEE Access 4 (2016)
Enric Sala, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
Disaggregation of HVAC load profiles for the monitoring of individual equipment. ETFA (2016)
Enric Sala, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
Intelligent monitoring of HVAC equipment by means of aggregated power analysis. IECON (2016)
Daniel Zurita, Miguel Delgado Prieto, Jesus A. Carino, Juan Antonio Ortega Redondo, Guy Clerc
Industrial Time Series Modelling by Means of the Neo-Fuzzy Neuron. IEEE Access 4 (2016)
Daniel Zurita, Enric Sala, Jesus A. Carino, Miguel Delgado Prieto, Juan Antonio Ortega Redondo
Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps. ETFA (2016)
Jesus A. Carino, Daniel Zurita, Miguel Delgado Prieto, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
Remaining useful life estimation of ball bearings by means of monotonic score calibration. ICIT (2015)
Daniel Zurita, Jesus A. Carino, Enric Sala, Miguel Delgado Prieto, Juan A. Ortega
Time series forecasting by means of SOM aided Fuzzy Inference Systems. ICIT (2015)
Enric Sala, Daniel Zurita, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
Enhanced load forecasting methodology by means of probabilistic prediction intervals estimation. ICIT (2015)
Daniel Zurita, Jesus A. Carino, Miguel Delgado Prieto, Juan Antonio Ortega Redondo
Distributed neuro-fuzzy feature forecasting approach for condition monitoring. ETFA (2014)
Jesus A. Carino, Daniel Zurita, Miguel Delgado Prieto, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions. ETFA (2014)
Miguel Delgado Prieto, Giansalvo Cirrincione, Antonio Garcia Espinosa, Juan Antonio Ortega Redondo, Humberto Henao
Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks. IEEE Trans. Ind. Electron. 60 (8) (2013)
Miguel Delgado Prieto, Antonio Garcia Espinosa, Jordi-Roger Riba Ruiz, Julio César Urresty, Juan Antonio Ortega Redondo
Feature Extraction of Demagnetization Faults in Permanent-Magnet Synchronous Motors Based on Box-Counting Fractal Dimension. IEEE Trans. Ind. Electron. 58 (5) (2011)
Jordi-Roger Riba Ruiz, Antoni García, Jordi Cusidó, Miguel Delgado Prieto
Dynamic model for AC and DC contactors - Simulation and experimental validation. Simul. Model. Pract. Theory 19 (9) (2011)