RESEARCH ASSISTANT
Contrato Predoctoral
PUBLICATIONS
2024
Raúl González-Herbón; Guzmán González-Mateos; José Ramón Rodríguez-Ossorio; Manuel Domínguez; Serafín Alonso; Juan J Fuertes
An Approach to Develop Digital Twins in Industry Journal Article
In: Sensors, vol. 24, no. 3, 2024, ISSN: 1424-8220.
Links | BibTeX | Tags: AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0
@article{GonzalezHerbon2024AnApproach,
title = {An Approach to Develop Digital Twins in Industry},
author = {Raúl González-Herbón and Guzmán González-Mateos and José Ramón Rodríguez-Ossorio and Manuel Domínguez and Serafín Alonso and Juan J Fuertes},
url = {https://www.mdpi.com/1424-8220/24/3/998},
doi = {10.3390/s24030998},
issn = {1424-8220},
year = {2024},
date = {2024-02-03},
urldate = {2024-01-01},
journal = {Sensors},
volume = {24},
number = {3},
keywords = {AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0},
pubstate = {published},
tppubtype = {article}
}
2023
Miguel A Prada; Juan J Fuertes; José Ramón Rodríguez-Ossorio; Raúl González-Herbón; Guzmán González-Mateos; Manuel Domínguez
Hands-on training in industrial cybersecurity for a multidisciplinary Master's degree Journal Article
In: IFAC-PapersOnLine, vol. 56, no. 2, pp. 11217–11222, 2023, ISSN: 2405-8963.
Links | BibTeX | Tags: CIBERSEGURIDAD EN INFRAESTRUCTURAS CRÍTICAS, LABORATORIOS VIRTUALES Y REMOTOS
@article{Prada2023,
title = {Hands-on training in industrial cybersecurity for a multidisciplinary Master's degree},
author = {Miguel A Prada and Juan J Fuertes and José Ramón Rodríguez-Ossorio and Raúl González-Herbón and Guzmán González-Mateos and Manuel Domínguez},
doi = {10.1016/j.ifacol.2023.10.850},
issn = {2405-8963},
year = {2023},
date = {2023-11-22},
urldate = {2023-11-22},
journal = {IFAC-PapersOnLine},
volume = {56},
number = {2},
pages = {11217--11222},
publisher = {Elsevier BV},
keywords = {CIBERSEGURIDAD EN INFRAESTRUCTURAS CRÍTICAS, LABORATORIOS VIRTUALES Y REMOTOS},
pubstate = {published},
tppubtype = {article}
}
Raúl González-Herbón; Guzmán González-Mateos; José Ramón Rodríguez-Ossorio; Serafín Alonso; Juan J Fuertes; Manuel Domínguez
Gemelo digital de una célula electro-neumática robotizada Proceedings Article
In: XLIV Jornadas de Automática, pp. 225-230, Universidade da Coruña. Servizo de Publicacións, 2023.
Links | BibTeX | Tags: AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0, LABORATORIOS VIRTUALES Y REMOTOS
@inproceedings{GonzalezHerbon2023Digital,
title = {Gemelo digital de una célula electro-neumática robotizada},
author = {Raúl González-Herbón and Guzmán González-Mateos and José Ramón Rodríguez-Ossorio and Serafín Alonso and Juan J Fuertes and Manuel Domínguez},
url = {https://doi.org/10.17979/spudc.9788497498609.225},
year = {2023},
date = {2023-09-06},
urldate = {2023-09-06},
booktitle = {XLIV Jornadas de Automática},
pages = {225-230},
publisher = {Universidade da Coruña. Servizo de Publicacións},
keywords = {AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0, LABORATORIOS VIRTUALES Y REMOTOS},
pubstate = {published},
tppubtype = {inproceedings}
}
Raúl González-Herbón; Guzmán González-Mateos; Serafín Alonso; Miguel A Prada; Juan J Fuertes; Antonio Morán; Manuel Domínguez
Virtual Flow Meter for an Industrial Process Proceedings Article
In: Engineering Applications of Neural Networks, pp. 433–444, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34203-5.
Abstract | Links | BibTeX | Tags: AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, MACHINE LEARNING
@inproceedings{GonzalezHerbon2023Virtual,
title = {Virtual Flow Meter for an Industrial Process},
author = {Raúl González-Herbón and Guzmán González-Mateos and Serafín Alonso and Miguel A Prada and Juan J Fuertes and Antonio Morán and Manuel Domínguez},
doi = {10.1007/978-3-031-34204-2_36},
isbn = {978-3-031-34203-5},
year = {2023},
date = {2023-06-07},
urldate = {2023-06-07},
booktitle = {Engineering Applications of Neural Networks},
pages = {433--444},
publisher = {Springer Nature Switzerland},
address = {Cham},
abstract = {The digitalization process has emerged strongly in the industry, causing an increase of connected sensors and IIoT devices, which produce a great amount of varied data. However, some industrial variables are hard to measure because of its high cost, complex installation mechanisms or non-stop production requirements. These variables could be indirectly estimated based on other related variables available in the process. Data-driven methods would be appropriate for this purpose, modelling real and potentially complex industrial processes. In this paper, a methodology to develop a virtual flow meter for industrial processes is presented. It assumes the impossibility of installing a flow meter in the process, so a non-invasive flow meter is used punctually to measure and capture data for training data-driven methods. Three different methods have been trained to obtain the model function: multiple linear regression (MLR), multilayer perceptron (MLP) and long-short term memory (LSTM). The developed virtual flow meter has been tested on a pilot plant built with real industrial equipment. LSTM method yields the best performance in the flow estimation, providing the lowest MAE and RMSE errors. It is able to consider temporal dependencies, besides modelling the nonlinear nature of industrial processes.},
keywords = {AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, MACHINE LEARNING},
pubstate = {published},
tppubtype = {inproceedings}
}
Juan J Fuertes; Raúl González-Herbón; José Ramón Rodríguez-Ossorio; Guzmán González-Mateos; Serafín Alonso; Antonio Morán
Guidelines to develop demonstration models on industry 4.0 for engineering training Journal Article
In: International Journal of Computer Integrated Manufacturing, vol. 36, no. 10, pp. 1465-1481, 2023.
Links | BibTeX | Tags: AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0, LABORATORIOS VIRTUALES Y REMOTOS
@article{Fuertes2023Guidelines,
title = {Guidelines to develop demonstration models on industry 4.0 for engineering training},
author = {Juan J Fuertes and Raúl González-Herbón and José Ramón Rodríguez-Ossorio and Guzmán González-Mateos and Serafín Alonso and Antonio Morán},
doi = {10.1080/0951192X.2023.2189308},
year = {2023},
date = {2023-03-17},
urldate = {2023-03-17},
journal = {International Journal of Computer Integrated Manufacturing},
volume = {36},
number = {10},
pages = {1465-1481},
publisher = {Taylor & Francis},
keywords = {AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0, LABORATORIOS VIRTUALES Y REMOTOS},
pubstate = {published},
tppubtype = {article}
}
2022
Raúl González-Herbón; José Ramón Rodríguez-Ossorio; Guzmán González-Mateos; Antonio Morán; Serafín Alonso; Juan J Fuertes
Control de caudal con un sensor virtual basado en técnicas de deep learning Proceedings Article
In: XLIII Jornadas de Automática, pp. 368–375, Universidade da Coruña. Servizo de Publicacións 2022.
Links | BibTeX | Tags: AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0, MACHINE LEARNING
@inproceedings{gonzalez2022control,
title = {Control de caudal con un sensor virtual basado en técnicas de deep learning},
author = { Raúl González-Herbón and José Ramón Rodríguez-Ossorio and Guzmán González-Mateos and Antonio Morán and Serafín Alonso and Juan J Fuertes},
doi = {10.17979/spudc.9788497498418.0368},
year = {2022},
date = {2022-09-01},
urldate = {2022-01-01},
booktitle = {XLIII Jornadas de Automática},
pages = {368--375},
organization = {Universidade da Coruña. Servizo de Publicacións},
keywords = {AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0, MACHINE LEARNING},
pubstate = {published},
tppubtype = {inproceedings}
}
José Ramón Rodríguez-Ossorio; Raúl González-Herbón; Guzmán González-Mateos; Antonio Morán; Miguel A Prada; Ignacio Díaz; Manuel Domínguez
Sensor virtual de caudal basado en técnicas de deep learning Proceedings Article
In: XVII Simposio CEA de Control Inteligente, pp. 81-86, 2022.
Links | BibTeX | Tags: INDUSTRIA 4.0, MACHINE LEARNING
@inproceedings{nokey,
title = {Sensor virtual de caudal basado en técnicas de deep learning},
author = { José Ramón Rodríguez-Ossorio and Raúl González-Herbón and Guzmán González-Mateos and Antonio Morán and Miguel A Prada and Ignacio Díaz and Manuel Domínguez},
doi = {10.18002/simceaci},
year = {2022},
date = {2022-06-29},
urldate = {2022-07-01},
booktitle = {XVII Simposio CEA de Control Inteligente},
journal = {XVII Simposio CEA de Control Inteligente},
pages = {81-86},
keywords = {INDUSTRIA 4.0, MACHINE LEARNING},
pubstate = {published},
tppubtype = {inproceedings}
}
Manuel Domínguez; Juan J Fuertes; Miguel A Prada; Serafín Alonso; Antonio Morán; Daniel Pérez; José Ramón Rodríguez-Ossorio; Raúl González-Herbón; Guzmán González-Mateos
Demostradores para la formación en digitalización de la industria Book Chapter
In: vol. 21, pp. 65-116, Universidad de León, 2022.
Links | BibTeX | Tags: AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0, LABORATORIOS VIRTUALES Y REMOTOS
@inbook{Fuertes2022Demostradores,
title = {Demostradores para la formación en digitalización de la industria},
author = {Manuel Domínguez and Juan J Fuertes and Miguel A Prada and Serafín Alonso and Antonio Morán and Daniel Pérez and José Ramón Rodríguez-Ossorio and Raúl González-Herbón and Guzmán González-Mateos},
url = {https://dialnet.unirioja.es/servlet/articulo?codigo=8688670},
year = {2022},
date = {2022-03-01},
urldate = {2022-03-01},
journal = {Premios a la innovación en la enseñanza},
volume = {21},
pages = {65-116},
publisher = {Universidad de León},
keywords = {AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0, LABORATORIOS VIRTUALES Y REMOTOS},
pubstate = {published},
tppubtype = {inbook}
}