Miguel Delgado Prieto
Orcid: 0000-0001-9282-838XAffiliations:
- Universitat Politécnica de Catalunya, Terrassa, Spain (PhD 2012)
According to our database1,
Miguel Delgado Prieto
authored at least 43 papers
between 2011 and 2023.
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Bibliography
2023
Power Disturbance Monitoring through Techniques for Novelty Detection on Wind Power and Photovoltaic Generation.
Sensors, March, 2023
Deep Learning-Based Partial Transfer Fault Diagnosis Methodology for Electromechanical Systems.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023
2022
Diagnosis Electromechanical System by Means CNN and SAE: An Interpretable-Learning Study.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022
2021
Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings.
Sensors, 2021
Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems.
Sensors, 2021
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021
2020
Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults.
IEEE Trans. Ind. Informatics, 2020
Directional Ultrasound Source for Solid Materials Inspection: Diffraction Management in a Metallic Phononic Crystal.
Sensors, 2020
Sensors, 2020
Support vector machine based novelty detection and FDD framework applied to building AHU systems.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
Analysis of Machine Learning based Condition Monitoring Schemes Applied to Complex Electromechanical Systems.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
2019
Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window.
Sensors, 2019
Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples.
Sensors, 2019
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine.
Appl. Soft Comput., 2019
IEEE Access, 2019
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019
Condition monitoring approach based on dimensionality reduction techniques for detecting power quality disturbances in cogeneration systems.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019
Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019
2018
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery.
IEEE Access, 2018
Proceedings of the IEEE International Conference on Industrial Technology, 2018
Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018
Novelty Detection based Condition Monitoring Scheme Applied to Electromechanical Systems.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018
2017
IEEE Trans. Ind. Electron., 2017
2016
IEEE Trans. Instrum. Meas., 2016
Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis.
IEEE Access, 2016
Occupancy forecasting for the reduction of HVAC energy consumption in smart buildings.
Proceedings of the IECON 2016, 2016
Proceedings of the IECON 2016, 2016
Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016
2015
Proceedings of the IEEE International Conference on Industrial Technology, 2015
Enhanced load forecasting methodology by means of probabilistic prediction intervals estimation.
Proceedings of the IEEE International Conference on Industrial Technology, 2015
Remaining useful life estimation of ball bearings by means of monotonic score calibration.
Proceedings of the IEEE International Conference on Industrial Technology, 2015
2014
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014
Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions.
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014
2013
Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks.
IEEE Trans. Ind. Electron., 2013
2012
Contributions to electromechanical systems diagnosis by means data fusion techniques.
PhD thesis, 2012
Accurate bearing faults classification based on statistical-time features, curvilinear component analysis and neural networks.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012
2011
Feature Extraction of Demagnetization Faults in Permanent-Magnet Synchronous Motors Based on Box-Counting Fractal Dimension.
IEEE Trans. Ind. Electron., 2011
Simul. Model. Pract. Theory, 2011