Miguel Delgado Prieto

42 papers C 16Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	C	`conf`	Deep Learning-Based Partial Transfer Fault Diagnosis Methodology for Electromechanical Systems. ETFA Francisco Arellano-Espitia, Miguel Delgado Prieto, Joan Valls-Perez, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios
2023	J	`jnl`	Power Disturbance Monitoring through Techniques for Novelty Detection on Wind Power and Photovoltaic Generation. Sensors Artvin Darien Gonzalez-Abreu, Roque Alfredo Osornio-Rios, David Alejandro Elvira-Ortiz, Arturo Yosimar Jaen-Cuellar, Miguel Delgado Prieto, Jose Alfonso Antonino-Daviu
2022	—	`conf`	Diagnosis Electromechanical System by Means CNN and SAE: An Interpretable-Learning Study. ICPS Francisco Arellano-Espitia, Miguel Delgado Prieto, Víctor Martínez-Viol, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios
2021	C	`conf`	Anomaly Detection in Electromechanical Systems by means of Deep-Autoencoder. ETFA Francisco Arellano-Espitia, Miguel Delgado Prieto, Víctor Martínez-Viol, Ángel Fernandez Sobrino, Roque Alfredo Osornio-Rios
2021	J	`jnl`	Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems. Sensors Francisco Arellano-Espitia, Miguel Delgado Prieto, Artvin Darien Gonzalez-Abreu, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios
2021	J	`jnl`	Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings. Sensors Juan Jose Saucedo Dorantes, Francisco Arellano-Espitia, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios
2020	C	`conf`	Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems. ETFA Francisco Arellano-Espitia, Artvin Darien Gonzalez-Abreu, Miguel Delgado Prieto, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios
2020	C	`conf`	Deep Learning based Condition Monitoring approach applied to Power Quality. ETFA Artvin Darien Gonzalez-Abreu, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios, Francisco Arellano-Espitia, Miguel Delgado Prieto
2020	J	`jnl`	Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems. Sensors Francisco Arellano-Espitia, Miguel Delgado Prieto, Víctor Martínez-Viol, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios
2020	J	`jnl`	Directional Ultrasound Source for Solid Materials Inspection: Diffraction Management in a Metallic Phononic Crystal. Sensors Hossam Selim, Rubén Picó, José Trull, Miguel Delgado Prieto, Crina Cojocaru
2020	J	`jnl`	Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults. IEEE Trans. Ind. Informatics Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios, René de Jesús Romero-Troncoso
2020	C	`conf`	Support vector machine based novelty detection and FDD framework applied to building AHU systems. ETFA Víctor Martínez-Viol, Eva M. Urbano, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
2019	C	`conf`	Active Learning based Laboratory towards Engineering Education 4.0. ETFA Miguel Delgado Prieto, Ángel Fernandez Sobrino, Lucia Ruiz Soto, David Romero, Pere Fibla Biosca, Luis Romeral Martinez
2019	C	`conf`	Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring. ETFA Francisco Arellano-Espitia, Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios
2019	C	`conf`	Condition monitoring approach based on dimensionality reduction techniques for detecting power quality disturbances in cogeneration systems. ETFA Artvin Darien Gonzalez-Abreu, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, René de Jesús Romero-Troncoso, Miguel Delgado Prieto, Daniel Morinigo-Sotelo
2019	J	`jnl`	Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window. Sensors Hossam Selim, José Trull, Miguel Delgado Prieto, Rubén Picó, Luis Romeral, Crina Cojocaru
2019	J	`jnl`	Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples. Sensors Hossam Selim, Miguel Delgado Prieto, José Trull, Luis Romeral, Crina Cojocaru
2019	J	`jnl`	Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine. Appl. Soft Comput. Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, René de Jesús Romero-Troncoso, Roque Alfredo Osornio-Rios
2019	J	`jnl`	Performance Analysis of Acoustic Emission Hit Detection Methods Using Time Features. IEEE Access Fernando Pinal Moctezuma, Miguel Delgado Prieto, Luis Romeral Martinez
2018	J	`jnl`	Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery. IEEE Access Jesus A. Carino, Miguel Delgado Prieto, José Antonio Iglesias, Araceli Sanchis, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
2018	C	`conf`	Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems. ETFA Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, Roque Alfredo Osornio-Rios, Luis Romeral Martinez, René de Jesús Romero-Troncoso
2018	J	`jnl`	Multimodal Forecasting Methodology Applied to Industrial Process Monitoring. IEEE Trans. Ind. Informatics Daniel Zurita, Miguel Delgado Prieto, Jesus A. Carino, Juan Antonio Ortega Redondo
2018	C	`conf`	Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems. ETFA Miguel Delgado Prieto, Jesus A. Carino, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Luis Romeral, René de Jesús Romero-Troncoso
2018	—	`conf`	Statistical data fusion as diagnosis scheme applied to a kinematic chain. ICIT Francisco Arellano-Espitia, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, René de Jesús Romero-Troncoso
2018	J	`jnl`	Thermography-Based Methodology for Multifault Diagnosis on Kinematic Chain. IEEE Trans. Ind. Informatics Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, Juan Jose Saucedo Dorantes, René de Jesús Romero-Troncoso, Roque Alfredo Osornio-Rios
2017	J	`jnl`	Chromatic Monitoring of Gear Mechanical Degradation Based on Acoustic Emission. IEEE Trans. Ind. Electron. Miguel Delgado Prieto, Daniel Zurita Millan
2016	C	`conf`	Disaggregation of HVAC load profiles for the monitoring of individual equipment. ETFA Enric Sala, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
2016	J	`jnl`	Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis. IEEE Access Jesus A. Carino, Miguel Delgado Prieto, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
2016	J	`jnl`	Industrial Time Series Modelling by Means of the Neo-Fuzzy Neuron. IEEE Access Daniel Zurita, Miguel Delgado Prieto, Jesus A. Carino, Juan Antonio Ortega Redondo, Guy Clerc
2016	C	`conf`	Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps. ETFA Daniel Zurita, Enric Sala, Jesus A. Carino, Miguel Delgado Prieto, Juan Antonio Ortega Redondo
2016	C	`conf`	Intelligent monitoring of HVAC equipment by means of aggregated power analysis. IECON Enric Sala, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
2016	C	`conf`	Occupancy forecasting for the reduction of HVAC energy consumption in smart buildings. IECON Enric Sala, Daniel Zurita, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
2016	J	`jnl`	Self-Powered Wireless Sensor Applied to Gear Diagnosis Based on Acoustic Emission. IEEE Trans. Instrum. Meas. Miguel Delgado Prieto, Daniel Zurita Millan, Wensi Wang, Anderson Machado Ortiz, Juan Antonio Ortega Redondo, Luis Romeral Martinez
2015	—	`conf`	Enhanced load forecasting methodology by means of probabilistic prediction intervals estimation. ICIT Enric Sala, Daniel Zurita, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
2015	—	`conf`	Remaining useful life estimation of ball bearings by means of monotonic score calibration. ICIT Jesus A. Carino, Daniel Zurita, Miguel Delgado Prieto, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
2015	—	`conf`	Time series forecasting by means of SOM aided Fuzzy Inference Systems. ICIT Daniel Zurita, Jesus A. Carino, Enric Sala, Miguel Delgado Prieto, Juan A. Ortega
2014	C	`conf`	Distributed neuro-fuzzy feature forecasting approach for condition monitoring. ETFA Daniel Zurita, Jesus A. Carino, Miguel Delgado Prieto, Juan Antonio Ortega Redondo
2014	C	`conf`	Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions. ETFA Jesus A. Carino, Daniel Zurita, Miguel Delgado Prieto, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
2013	J	`jnl`	Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks. IEEE Trans. Ind. Electron. Miguel Delgado Prieto, Giansalvo Cirrincione, Antonio Garcia Espinosa, Juan Antonio Ortega Redondo, Humberto Henao
2012	—	`—`	Contributions to electromechanical systems diagnosis by means data fusion techniques. Miguel Delgado Prieto
2011	J	`jnl`	Dynamic model for AC and DC contactors - Simulation and experimental validation. Simul. Model. Pract. Theory Jordi-Roger Riba Ruiz, Antoni García, Jordi Cusidó, Miguel Delgado Prieto
2011	J	`jnl`	Feature Extraction of Demagnetization Faults in Permanent-Magnet Synchronous Motors Based on Box-Counting Fractal Dimension. IEEE Trans. Ind. Electron. Miguel Delgado Prieto, Antonio Garcia Espinosa, Jordi-Roger Riba Ruiz, Julio César Urresty, Juan Antonio Ortega Redondo