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Miguel Delgado Prieto

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

16

Venues

2

Active years

2014–2023

Best venue rank

C

Where they publish

Papers

16 indexed papers, newest first.

YearVenueTitleAuthors
2023ETFADeep 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
2021ETFAAnomaly Detection in Electromechanical Systems by means of Deep-Autoencoder.Francisco Arellano-Espitia, Miguel Delgado Prieto, Vctor Martnez-Viol, ngel Fernandez Sobrino, Roque Alfredo Osornio-Rios
2020ETFAAnalysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems.Francisco Arellano-Espitia, Artvin Darien Gonzalez-Abreu, Miguel Delgado Prieto, Juan Jos Saucedo-Dorantes, Roque Alfredo Osornio-Rios
2020ETFADeep Learning based Condition Monitoring approach applied to Power Quality.Artvin Darien Gonzalez-Abreu, Juan Jos Saucedo-Dorantes, Roque Alfredo Osornio-Rios, Francisco Arellano-Espitia, Miguel Delgado Prieto
2020ETFASupport vector machine based novelty detection and FDD framework applied to building AHU systems.Vctor Martnez-Viol, Eva M. Urbano, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
2019ETFAAutoencoder based feature reduction analysis applied to electromechanical systems condition monitoring.Francisco Arellano-Espitia, Juan Jose Saucedo Dorantes, Miguel Delgado Prieto, Roque Alfredo Osornio-Rios
2019ETFACondition 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, Ren de Jess Romero-Troncoso, Miguel Delgado Prieto, Daniel Morinigo-Sotelo
2019ETFAActive Learning based Laboratory towards Engineering Education 4.0.Miguel Delgado Prieto, ngel Fernandez Sobrino, Lucia Ruiz Soto, David Romero, Pere Fibla Biosca, Luis Romeral Martinez
2018ETFANovelty 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, Ren de Jess Romero-Troncoso
2018ETFAIncremental 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, Ren de Jess Romero-Troncoso
2016ETFADisaggregation of HVAC load profiles for the monitoring of individual equipment.Enric Sala, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
2016ETFAIndustrial 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
2016IECONIntelligent monitoring of HVAC equipment by means of aggregated power analysis.Enric Sala, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
2016IECONOccupancy forecasting for the reduction of HVAC energy consumption in smart buildings.Enric Sala, Daniel Zurita, Konstantinos Kampouropoulos, Miguel Delgado Prieto, Luis Romeral
2014ETFAHierarchical classification scheme based on identification, isolation and analysis of conflictive regions.Jesus A. Carino, Daniel Zurita, Miguel Delgado Prieto, Juan Antonio Ortega Redondo, Ren de Jess Romero-Troncoso
2014ETFADistributed neuro-fuzzy feature forecasting approach for condition monitoring.Daniel Zurita, Jesus A. Carino, Miguel Delgado Prieto, Juan Antonio Ortega Redondo