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Miguel Delgado Prieto
Person information
- affiliation (PhD 2012): Universitat Politécnica de Catalunya, Terrassa, Spain
Other persons with the same name
- Miguel Delgado — disambiguation page
- Miguel Delgado 0001
(aka: Miguel Delgado Calvo-Flores) — University of Granada, Department of Computer Science and Artificial Intelligence, Spain
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2020 – today
- 2023
- [j20]Artvin Darien Gonzalez-Abreu
Power Disturbance Monitoring through Techniques for Novelty Detection on Wind Power and Photovoltaic Generation. Sensors 23(6): 2908 (2023) - [c22]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: 1-6 - 2022
- [c21]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: 1-6 - 2021
- [j19]Francisco Arellano-Espitia
Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems. Sensors 21(17): 5830 (2021) - [j18]Juan Jose Saucedo Dorantes
Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings. Sensors 21(17): 5832 (2021) - [c20]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: 1-6 - 2020
- [j17]Francisco Arellano-Espitia
Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems. Sensors 20(14): 3949 (2020) - [j16]Hossam Selim
Directional Ultrasound Source for Solid Materials Inspection: Diffraction Management in a Metallic Phononic Crystal. Sensors 20(21): 6148 (2020) - [j15]Juan Jose Saucedo Dorantes
Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults. IEEE Trans. Ind. Informatics 16(9): 5985-5995 (2020) - [c19]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: 1419-1422 - [c18]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: 1427-1430 - [c17]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: 1749-1754
2010 – 2019
- 2019
- [j14]Fernando Pinal Moctezuma
Performance Analysis of Acoustic Emission Hit Detection Methods Using Time Features. IEEE Access 7: 71119-71130 (2019) - [j13]Juan Jose Saucedo Dorantes
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine. Appl. Soft Comput. 81 (2019) - [j12]Hossam Selim
Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples. Sensors 19(3): 573 (2019) - [j11]Hossam Selim
Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window. Sensors 19(9): 2138 (2019) - [c16]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: 776-783 - [c15]Francisco Arellano-Espitia
Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring. ETFA 2019: 891-897 - [c14]Artvin Darien Gonzalez-Abreu
Condition monitoring approach based on dimensionality reduction techniques for detecting power quality disturbances in cogeneration systems. ETFA 2019: 898-903 - 2018
- [j10]Jesus A. Carino
Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery. IEEE Access 6: 49755-49766 (2018) - [j9]Daniel Zurita
Multimodal Forecasting Methodology Applied to Industrial Process Monitoring. IEEE Trans. Ind. Informatics 14(2): 494-503 (2018) - [j8]Miguel Delgado Prieto
Thermography-Based Methodology for Multifault Diagnosis on Kinematic Chain. IEEE Trans. Ind. Informatics 14(12): 5553-5562 (2018) - [c13]Miguel Delgado Prieto
Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems. ETFA 2018: 1213-1216 - [c12]Juan Jose Saucedo Dorantes, Miguel Delgado Prieto
Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems. ETFA 2018: 1359-1364 - [c11]Francisco Arellano-Espitia
Statistical data fusion as diagnosis scheme applied to a kinematic chain. ICIT 2018: 2111-2118 - 2017
- [j7]Miguel Delgado Prieto
Chromatic Monitoring of Gear Mechanical Degradation Based on Acoustic Emission. IEEE Trans. Ind. Electron. 64(11): 8707-8717 (2017) - 2016
- [j6]Daniel Zurita
Industrial Time Series Modelling by Means of the Neo-Fuzzy Neuron. IEEE Access 4: 6151-6160 (2016) - [j5]Jesus A. Carino
Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis. IEEE Access 4: 7594-7604 (2016) - [j4]Miguel Delgado Prieto
Self-Powered Wireless Sensor Applied to Gear Diagnosis Based on Acoustic Emission. IEEE Trans. Instrum. Meas. 65(1): 15-24 (2016) - [c10]Enric Sala
Disaggregation of HVAC load profiles for the monitoring of individual equipment. ETFA 2016: 1-6 - [c9]Daniel Zurita, Enric Sala
Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps. ETFA 2016: 1-8 - [c8]Enric Sala
Intelligent monitoring of HVAC equipment by means of aggregated power analysis. IECON 2016: 3978-3983 - [c7]Enric Sala
Occupancy forecasting for the reduction of HVAC energy consumption in smart buildings. IECON 2016: 4002-4007 - 2015
- [c6]Enric Sala
Enhanced load forecasting methodology by means of probabilistic prediction intervals estimation. ICIT 2015: 1299-1304 - [c5]Jesus A. Carino
Remaining useful life estimation of ball bearings by means of monotonic score calibration. ICIT 2015: 1752-1758 - [c4]Daniel Zurita
Time series forecasting by means of SOM aided Fuzzy Inference Systems. ICIT 2015: 1772-1778 - 2014
- [c3]Jesus A. Carino
Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions. ETFA 2014: 1-8 - [c2]Daniel Zurita
Distributed neuro-fuzzy feature forecasting approach for condition monitoring. ETFA 2014: 1-8 - 2013
- [j3]Miguel Delgado Prieto
Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks. IEEE Trans. Ind. Electron. 60(8): 3398-3407 (2013) - 2012
- [b1]Miguel Delgado Prieto:
Contributions to electromechanical systems diagnosis by means data fusion techniques. Polytechnic University of Catalonia, Spain, 2012 - [c1]Miguel Delgado
Accurate bearing faults classification based on statistical-time features, curvilinear component analysis and neural networks. IECON 2012: 3854-3861 - 2011
- [j2]Jordi-Roger Riba Ruiz
Dynamic model for AC and DC contactors - Simulation and experimental validation. Simul. Model. Pract. Theory 19(9): 1918-1932 (2011) - [j1]Miguel Delgado Prieto
Feature Extraction of Demagnetization Faults in Permanent-Magnet Synchronous Motors Based on Box-Counting Fractal Dimension. IEEE Trans. Ind. Electron. 58(5): 1594-1605 (2011)
Coauthor Index
aka: Jesus A. Carino
aka: Juan José Saucedo-Dorantes
aka: Daniel Zurita
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