PROJECTS
INTELLIGENT DATA-BASED MODELING APPLIED TO INDUSTRIAL FACILITIES FOR THE IMPROVEMENT OF ENERGY EFFICIENCY (PID2020-117890RB-I00).
Funding entity: Spanish Ministry of Science and Innovation
Start and end date: 01/09/2021 – 31/08/2025
TECHNIQUES OF MODELING, PREDICTION AND INTERACTIVE VISUALIZATION OF DATA TO IMPROVE ENERGY EFFICIENCY IN BUILDINGS AND INDUSTRIAL FACILITIES (DPI2015-69891-C2-1-R)
Funding entity: Ministry of Economy and Competitiveness.
Name of the program: State Program of R & D Oriented towards the Challenges of the Society
Dates: 01/01/2016 – 12/31/2018
Participants: University of León; Oviedo University; Aalto University; Université Catholique de Louvain.
Duration: 3 years
SYSTEMS FOR THE DETECTION OF EXPLOSIVES IN PUBLIC CENTERS AND INFRASTRUCTURES
Funding entity: Center for Industrial Technological Development
Program name: CENIT
Code: SEDUCE
Start date: 2011
Duration: 3 years
OBTAINING DYNAMIC MODELS USING PROJECTION TECHNIQUES TO IMPROVE ENERGY EFFICIENCY IN BUILDINGS OF THE TERTIARY SECTOR (ULE2009-4)
Funding entity: Universidad de León.
Start date: 02/23/2010
Duration: 1 year
DEVELOPMENT OF A METHODOLOGY FOR SUPERVISION AND IMPROVEMENT OF PROCESSES BASED ON THE VISUAL REPRESENTATION OF DYNAMIC BEHAVIOR. DPI2009-13398-C02-02
Funding entity: Ministry of Science and Technology.
Duration, granted July 2009 (4 years).
MODELING THE DYNAMICS OF INDUSTRIAL PROCESSES USING SELF-ORGANIZED TOPOLOGICAL MAPS
Funding entity: JUNTA DE CASTILLA Y LEON, EDUCATION COUNSELING. Order EDU / 1160/2008.
Entity of realization: University of León
Duration 2008-2009 (2 years).
DEVELOPMENT OF METHODOLOGIES OF VISUAL REPRESENTATION OF THE DYNAMICS ORIENTATED TO THE INTEGRAL AND DE-LOCALIZED SUPERVISION OF INDUSTRIAL PROCESSES (DPI2006-13477-C02-02)
Funding entity: Ministry of Science and Technology.
Duration, granted July 2006 (3 years).
ADVANCED EXTRACTION AND REPRESENTATION TECHNIQUES KNOWLEDGE IN REMOTE SUPERVISION COMPLEX INDUSTRIAL PROCESSES VIA INTERNET (DPI2004-07662)
Funding entity: Ministry of Science and Technology.
Duration, from: December 12, 2004 to December 12, 2005.
REMOTE SUPERVISION OF PROCESSES DISTRIBUTED VIA INTERNET
Funding entity: (ACSUCYL) AGENCY FOR THE QUALITY OF THE UNIVERSITY SYSTEM OF CASTILLA Y LEÓN. REGIONAL GOVERNMENT OF CASTILLA Y LEÓN. EDU / 1225/2006.
Duration, granted July 2006 (2 years).
TESTING OF EQUIPMENT AND THE TRAINING OF PROFESSIONALS IN NEW TECHNOLOGIES OF INDUSTRIAL AUTOMATION AND ENERGY MANAGEMENT IN BUILDINGS IMPLANTED BY SCHNEIDER ELECTRIC.
Agreement: SCHNEIDER ELECTRIC Spain S.A.
Agreement for the testing of equipment and the training of professionals in the new technologies of Industrial Automation and Energy Management in Buildings implemented by Schneider Electric.
Schneider Electric Training Institute (ISEF).
Duration: 2011 to: present.
ADVANCED SUPERVISION OF PASTEURIZATION PROCESSES.
Research contract: GEA PROCESS ENGINEERING, S.A.
Advanced monitoring of pasteurization processes.
Duration: from June 1, 2015 to May 31, 2016.
PROVISION OF THE TECHNICAL SUPPORT SERVICE FOR THE MANAGEMENT AND MAINTENANCE OF THE CONTROL SYSTEMS OF THE COOLED WATER PRODUCTION FACILITIES.
Agreement: University Assistance Complex of León (Hospital de León).
Provision of technical support service for management and maintenance of the control systems of the chilled water production facilities of the University Assistance Complex of León (Hospital de León).
Duration: February 16, 2015 to December 31, 2015.
EXPERT ADVICE IN INDUSTRIAL CONTROL SYSTEMS ORIENTED TO THE DESIGN OF NEW SERVICES RELATED TO CONTROL SYSTEMS INDUSTRY.
Agreement: General Directorate of INTECO (National Institute of Communication Technologies S.A.)
Expert advice in industrial control systems oriented to the design of new services related to industrial control systems.
Duration: from January 28, 2015 to July 28, 2015.
PROJECT OF SUPERVISION AND CONTROL OF AIR CONDITIONING FACILITIES IN VARIOUS BUILDINGS.
Engineering project.
Project for the supervision and control of air conditioning installations in several buildings (Phase I, II and III) at the YPF gas plant in Sta. Cruz de la Sierra (Bolivia). Programming of Schneider-Electric equipment control.
Dates completion: November 24, 2014 to February 4, 2015.
DESIGN AND START-UP PROJECT OF THE CLIMATE CONTROL AND SUPERVISION SYSTEM.
Engineering project
Design and implementation project of the control and supervision system of air conditioning in the offices of the Montecelo hospital (Pontevedra). Programming of Schneider-Electric equipment control
Dates completion: May 1, 2014 to June 6, 2014.
REALIZATION OF THE INSTALLATION FIELD TEST IN THE ETHERNET INPUT AND OUTPUT DEVICE FOR THE ACTI9 COMMUNICATION SYSTEM.
SCHNEIDER ELECTRIC INDUSTRIES SAS.
Realization of the installation field test on the Ethernet input and output device for the Acti9 communication system. Company: Schneider Electric Industries SAS
Dates completion: December 27, 2013 to January 27, 2014.
ENGINEERING AND AEROSPACE CONVENTION INSA S.A
Agreement for the coordination of the R & D activities plan of INSA S.A.
Date of completion: April 20, 2005.
Duration 8 years.
MODERNIZATION OF THE CEDEA CONTROL CENTER OF THE NATIONAL INSTITUTE OF AEROSPACE TECHNOLOGY (INTA).
Research contract
Modernization of the control center of the CEDEA (Centro de Experimentación del Arenosillo) of the National Institute of Aerospace Technology (INTA).
Participating entities: National Institute of Aerospace Technology (INTA), Engineering and Aerospace Services (INSA S.A.).
Date: January 01, 2007 to July 6, 2009.
FEASIBILITY STUDY OF THE APPLICATION OF THE GALILEO POSITIONING SYSTEM TO THE PANAMA CANAL.
Research contract
Feasibility study of the application of the Galileo positioning system to the Panama Canal.
Funding Institution: Aerospace Engineering and Services INSA S.A.
Duration: March 1, 2007 to August 31, 2007.
Total number of months: 6.
REMOTE SUPERVISION OF INDUSTRIAL PROCESSES DISTRIBUTED VIA INTERNET (LE015B06).
Funding entity / s: Junta de Castilla y León.
Start date: July 26, 2006.
RESEARCH AND DEVELOPMENT OF SOFTWARE APPLICATION FOR THE MINIMIZATION OF COSTS IN THE MANUFACTURE OF FERTILIZERS.
Research contract
Research and Development of Application Software for the Minimization of Costs in the Manufacture of Fertilizers.
Funding Entity: CEFSA – Marketer of Amendments and Fertilizers S.A.
DURATION: From: 10/02/2005 To: 07/10/2005
Total number of months: 6.
DESIGN OF SUPERVISORY STRUCTURE ON OPTO B3000ENET EQUIPMENT TO CAPTURE 160 ANALOG VARIABLES WITH SAMPLING TIMES LESS THAN OR EQUAL TO 20MS.
Research contract
Design of Supervision Structure on Opto B3000ENET Equipment for Capture of 160 Analog Variables with Sampling Time Minor or Equal to 20ms.
Funding Entity: Optomation S.A.
DURATION: From: 12/15/2004 To: 01/05/2005
Total number of months: 6.
DEVELOPMENT OF A REMOTE SUPERVISION STATION BASED ON PDAS AS A SUPPORT FOR THE EXTINCTION OF FOREST FIRES.
ENGINEERING AND AEROSPACE SERVICES (INSA S.A.)
Development of a remote monitoring station based on PDAs as a means of support in the extinction of forest fires.
Project: REMFIRESAT, for the European Space Agency.
Start date: 10/01/2002.
Duration: 2 years.
INSTRUMENTATION SERVICES IN THE GENENTECH SPAIN PLANT.
Engineering project
Instrumentation Services at the Genentech Spain plant.
GE 201/1 Project Calibration System.
Dates completion: 06/06/2002.
INSTRUMENTATION SERVICES TO FISHER-ROSEMOUNT FOR THE BIOFERMA PLANT.
Engineering project
Fisher-Rosemount instrumentation services for the Bioferma plant. Bioferma Phase I Project, Murcia
Dates completion: 1/1/1997 to 12/31/97.
FEASIBILITY AND FLEXIBILITY STUDY OF ROBOTIC SOLDERING CELL.
Research contract
Feasibility study and flexibilization of robotic welding cell.
Funding Entity: Tapicería Soto S.L.
Dates: From: 05/14/1996 To: 05/13/1997
Total number of months: 12.
SUPERVISION AND REMOTE CONTROL OF PROCESSES VIA INTERNET.
Monitoring and remote monitoring of variables.
Implementation of control strategies.
Sequence of operation.
SUPERVISION AND REMOTE CONTROL OF PROCESSES VIA PDA’S.
Monitoring and remote monitoring of variables.
Implementation of control strategies.
Sequence of operation.
Domotic applications.
REMFIRESAT PROJECT.
Program of the European Space Agency.
Analysis and management of forest fires.
Satellite technologies for real-time positioning.
PDA + GPS + GPRS clients with messaging.
SUPERVISION AND MONITORING SYSTEM GROUP II. ROBLA THERMAL POWER PLANT.
Acquisition systems.
Supervision systems.
Information systems.
- Development of the monitoring and supervision system of group II (350Mw) of La Robla Thermal Power Plant (León).
Funded by Unión Fenosa.
Date: May 17, 1997 to May 1998.
- Development of software application on the monitoring and supervision system of group II (350Mw) of La Robla Thermal Power Plant (León), for the real-time monitoring of the programmed energy and the energy produced.
Date: October 20, 1998.
- Development of software application on the supervision and monitoring system of group II of La Robla thermal power plant (León), for the totalization system of Gas-Oil and Fuel-Oil.
Date: October 20, 1998.
SYSTEMS OF GLOBAL MANAGEMENT OF INTEGRATED CALIBRATIONS GMAO.
Application of the ISO 9000/2000 and GMP / CFR-21 quality systems.
Design of a documented quality system for inspection and test equipment.
Adaptation of instrumentation and systems to the needs of the biotechnological process.
Integration of the calibration system with Maximum CMMS.
COMPREHENSIVE QUALITY, SECURITY AND ENVIRONMENT MANAGEMENT SYSTEMS.
Implementation of PASCAL systems (Environmental Protection, Safety and Quality).
Comprehensive management of document systems. “A single work system”.
Personalization for each user. “No to serial systems”.
PUBLICATIONS
2024
Antonio Morán; Serafín Alonso; Miguel A Prada; Juan J Fuertes; José Ramón Rodríguez-Ossorio; Manuel Domínguez
Remote training platform for industrial control automation Journal Article
In: IFAC-PapersOnLine, vol. 58, no. 26, pp. 164-169, 2024, ISSN: 2405-8963, (4th IFAC Workshop on Internet Based Control Education - IBCE 2024).
@article{MORAN2024164,
title = {Remote training platform for industrial control automation},
author = {Antonio Morán and Serafín Alonso and Miguel A Prada and Juan J Fuertes and José Ramón Rodríguez-Ossorio and Manuel Domínguez},
url = {https://www.sciencedirect.com/science/article/pii/S2405896324020640},
doi = {https://doi.org/10.1016/j.ifacol.2024.10.289},
issn = {2405-8963},
year = {2024},
date = {2024-11-05},
urldate = {2024-01-01},
journal = {IFAC-PapersOnLine},
volume = {58},
number = {26},
pages = {164-169},
note = {4th IFAC Workshop on Internet Based Control Education - IBCE 2024},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Guzmán González-Mateos; Miguel A Prada; Antonio Morán; Raúl González-Herbón; Manuel Domínguez
A PID Control Architecture Based on IEC 61499 Journal Article
In: IFAC-PapersOnLine, vol. 58, no. 7, pp. 91-96, 2024, ISSN: 2405-8963, (4th IFAC Conference on Advances in Proportional-Integral-Derivate Control PID 2024).
@article{GonzalezMateos2024,
title = {A PID Control Architecture Based on IEC 61499},
author = {Guzmán González-Mateos and Miguel A Prada and Antonio Morán and Raúl González-Herbón and Manuel Domínguez},
doi = {10.1016/j.ifacol.2024.08.016},
issn = {2405-8963},
year = {2024},
date = {2024-08-28},
urldate = {2024-08-28},
journal = {IFAC-PapersOnLine},
volume = {58},
number = {7},
pages = {91-96},
abstract = {This work presents an approach for PID control and optimization in a distributed system, using the IEC 61499 control standard. This standard enables communication among different PLCs, which are used to develop a three-layered event-driven control of a SISO loop. The lowest layer is in charge of cyclical data acquisition. The second layer carries out an event-based PID control. The highest layer runs a control optimization algorithm, specifically a simple tuning approach based on Ziegler-Nichols that is used to determine the PID parameters for different operating points. The proposed approach is assessed in a tank level SISO control problem, whose behavior can be modeled as a first-order plus dead time system in each operating point. For that purpose, it has been implemented using two PLCs and a software PLC running on an industrial computer. The experimental results on the SISO level control loop show the feasibility of the proposed approach for event-driven control in a distributed system and open interesting research questions in the intersection of controller design and distributed automation.},
note = {4th IFAC Conference on Advances in Proportional-Integral-Derivate Control PID 2024},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This work presents an approach for PID control and optimization in a distributed system, using the IEC 61499 control standard. This standard enables communication among different PLCs, which are used to develop a three-layered event-driven control of a SISO loop. The lowest layer is in charge of cyclical data acquisition. The second layer carries out an event-based PID control. The highest layer runs a control optimization algorithm, specifically a simple tuning approach based on Ziegler-Nichols that is used to determine the PID parameters for different operating points. The proposed approach is assessed in a tank level SISO control problem, whose behavior can be modeled as a first-order plus dead time system in each operating point. For that purpose, it has been implemented using two PLCs and a software PLC running on an industrial computer. The experimental results on the SISO level control loop show the feasibility of the proposed approach for event-driven control in a distributed system and open interesting research questions in the intersection of controller design and distributed automation.
José Ramón Rodríguez-Ossorio; Claudio Gallicchio; Antonio Morán; Ignacio Díaz; Juan J Fuertes; Manuel Domínguez
Deep Echo State Networks for Modelling of Industrial Systems Proceedings Article
In: Engineering Applications of Neural Networks, pp. 106–119, Springer Nature Switzerland, Cham, 2024, ISBN: 978-3-031-62495-7.
@inproceedings{Ossorio2024Deep,
title = {Deep Echo State Networks for Modelling of Industrial Systems},
author = {José Ramón Rodríguez-Ossorio and Claudio Gallicchio and Antonio Morán and Ignacio Díaz and Juan J Fuertes and Manuel Domínguez},
doi = {10.1007/978-3-031-62495-7_9},
isbn = {978-3-031-62495-7},
year = {2024},
date = {2024-06-22},
urldate = {2024-06-22},
booktitle = {Engineering Applications of Neural Networks},
pages = {106–119},
publisher = {Springer Nature Switzerland},
address = {Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Antonio Morán; Serafín Alonso; Juan J Fuertes; Miguel A Prada; Lidia Roca; Manuel Domínguez
Machine Learning Modeling in Industrial Processes for Visual Analysis Proceedings Article
In: Engineering Applications of Neural Networks, pp. 379–391, Springer Nature Switzerland, Cham, 2024, ISBN: 978-3-031-62495-7.
@inproceedings{Moran2024Machine,
title = {Machine Learning Modeling in Industrial Processes for Visual Analysis},
author = {Antonio Morán and Serafín Alonso and Juan J Fuertes and Miguel A Prada and Lidia Roca and Manuel Domínguez},
doi = {10.1007/978-3-031-62495-7_29},
isbn = {978-3-031-62495-7},
year = {2024},
date = {2024-06-22},
urldate = {2024-06-22},
booktitle = {Engineering Applications of Neural Networks},
pages = {379–391},
publisher = {Springer Nature Switzerland},
address = {Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
@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},
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2023
José Ramón Rodríguez-Ossorio; Antonio Morán; Serafín Alonso; Daniel Pérez; Ignacio Díaz; Manuel Domínguez
Echo State Networks for anomaly detection in industrial systems Journal Article
In: IFAC-PapersOnLine, vol. 56, no. 2, pp. 1472–1477, 2023, ISSN: 2405-8963.
@article{Rodríguez-Ossorio2023,
title = {Echo State Networks for anomaly detection in industrial systems},
author = {José Ramón Rodríguez-Ossorio and Antonio Morán and Serafín Alonso and Daniel Pérez and Ignacio Díaz and Manuel Domínguez},
doi = {10.1016/j.ifacol.2023.10.1836},
issn = {2405-8963},
year = {2023},
date = {2023-11-22},
urldate = {2023-11-22},
journal = {IFAC-PapersOnLine},
volume = {56},
number = {2},
pages = {1472--1477},
publisher = {Elsevier BV},
keywords = {},
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.
@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 = {},
pubstate = {published},
tppubtype = {inproceedings}
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José Ramón Rodríguez-Ossorio; Antonio Morán; Juan J Fuertes; Miguel A Prada; Ignacio Díaz; Manuel Domínguez
Adaptive Model for Industrial Systems Using Echo State Networks Proceedings Article
In: Engineering Applications of Neural Networks, pp. 367–378, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34204-2.
@inproceedings{RodriguezOssorio2023Adaptive,
title = {Adaptive Model for Industrial Systems Using Echo State Networks},
author = {José Ramón Rodríguez-Ossorio and Antonio Morán and Juan J Fuertes and Miguel A Prada and Ignacio Díaz and Manuel Domínguez},
doi = {10.1007/978-3-031-34204-2_31},
isbn = {978-3-031-34204-2},
year = {2023},
date = {2023-06-07},
urldate = {2023-06-07},
booktitle = {Engineering Applications of Neural Networks},
pages = {367--378},
publisher = {Springer Nature Switzerland},
address = {Cham},
abstract = {When a model of an industrial system is developed, it is expected that this model performs consistently when applied to other identically designed systems. However, different operating hours, degradation or maintenance, among other circumstances, cause a change in the dynamics of the system and result in the model not performing as expected. For this reason, it is necessary to build a model that continuously adapts to changes in the dynamics of the system, in order to handle such deviations and thus reduce the estimation error.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
When a model of an industrial system is developed, it is expected that this model performs consistently when applied to other identically designed systems. However, different operating hours, degradation or maintenance, among other circumstances, cause a change in the dynamics of the system and result in the model not performing as expected. For this reason, it is necessary to build a model that continuously adapts to changes in the dynamics of the system, in order to handle such deviations and thus reduce the estimation error.
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.
@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 = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
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.
@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 = {},
pubstate = {published},
tppubtype = {article}
}
2022
David Muñoz Peña; Manuel Domínguez; Fabio Gomez-Estern; Oscar Reinoso; Fernando Torres; Sebastian Dormido
Overview and future trends of control education Proceedings Article
In: IFAC-PapersOnLine, pp. 79-84, Elsevier B.V., 2022, ISSN: 2405-8963.
@inproceedings{delapeña_2022,
title = {Overview and future trends of control education},
author = {David Muñoz Peña and Manuel Domínguez and Fabio Gomez-Estern and Oscar Reinoso and Fernando Torres and Sebastian Dormido},
doi = {10.1016/J.IFACOL.2022.09.228},
issn = {2405-8963},
year = {2022},
date = {2022-10-06},
urldate = {2022-01-01},
booktitle = {IFAC-PapersOnLine},
volume = {55},
number = {17},
pages = {79-84},
publisher = {Elsevier B.V.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Manuel Domínguez; Daniel Pérez; Antonio Morán; Serafín Alonso; Miguel A Prada; Juan J Fuertes
Remote training in cybersecurity for industrial control systems Proceedings Article
In: IFAC-PapersOnLine, pp. 320-325, Elsevier B.V., 2022, ISSN: 2405-8963.
@inproceedings{domínguez2022Remote,
title = {Remote training in cybersecurity for industrial control systems},
author = {Manuel Domínguez and Daniel Pérez and Antonio Morán and Serafín Alonso and Miguel A Prada and Juan J Fuertes},
doi = {10.1016/J.IFACOL.2022.09.299},
issn = {2405-8963},
year = {2022},
date = {2022-10-06},
urldate = {2022-01-01},
booktitle = {IFAC-PapersOnLine},
volume = {55},
number = {17},
pages = {320-325},
publisher = {Elsevier B.V.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
@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},
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Martín Balboa; Serafín Alonso; Juan J Fuertes; Antonio Morán; Miguel A Prada; Daniel Pérez; Manuel Domínguez
Armario para la formación en automatización y control de subestaciones eléctricas de tracción Proceedings Article
In: XLIII Jornadas de Automática, pp. 255–261, Universidade da Coruña. Servizo de Publicacións 2022.
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David Muñoz de la Peña; Manuel Domínguez; Fabio Gomez-Estern; Óscar Reinoso; Fernando Torres; Sebastián Dormido
Estado del arte de la educación en automática Journal Article
In: Revista Iberoamericana de Automática e Informática industrial, vol. 19, no. 2, pp. 117-131, 2022.
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La educación en automática es un área madura en la que multitud de profesores e investigadores han trabajado intensamente para afrontar el reto de proporcionar una educación versátil, con una fuerte base científica. Todo ello sin perder de vista las necesidades de la industria; adaptando los contenidos, las metodologías y las herramientas a los continuos cambios sociales y tecnológicos de nuestro tiempo. Este artículo presenta una reflexión sobre el papel de la automática en la sociedad actual, una revisión de los objetivos tradicionales de la educación en automática a través de los trabajos seminales del área y finalmente una revisión de las principales tendencias actuales.
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.
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2021
Juan J Fuertes; Miguel A Prada; José Ramón Rodríguez-Ossorio; Raúl González-Herbón; Daniel Pérez; Manuel Domínguez
Environment for education on Industry 4.0 Journal Article
In: IEEE Access, pp. 144395-144405, 2021, ISSN: 2169-3536.
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2020
Manuel Domínguez; Raúl González-Herbón; José Ramón Rodríguez-Ossorio; Juan J Fuertes; Miguel A Prada; Antonio Morán
Development of a Remote Industrial Laboratory for Automatic Control based on Node-RED Journal Article
In: IFAC-PapersOnLine, vol. 53, no. 2, pp. 17210–17215, 2020.
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2019
Serafín Alonso; Daniel Pérez; Juan J Fuertes; Ignacio Díaz; Manuel Domínguez
A deep learning approach for fusing sensor data from screw compressors Journal Article
In: Sensors, vol. 19, no. 13, 2019, ISSN: 1424-8220.
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Manuel Domínguez; Antonio Morán; Serafín Alonso; Miguel A Prada; Daniel Pérez; Juan J Fuertes
Experimentation environment for industrial control systems cybersecurity: On-site and remote training Journal Article
In: IFAC-PapersOnLine, vol. 52, no. 9, pp. 278-284, 2019.
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Martín Balboa; Serafín Alonso; Juan J Fuertes; Antonio Morán; Miguel A Prada
Sistema de control basado en Arduino para una caldera de biomasa Proceedings Article
In: XL Jornadas de Automática, pp. 366–373, Universidade da Coruña, Servizo de Publicacións 2019.
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2017
Perfecto Reguera; Serafín Alonso; Miguel A Prada; Antonio Morán; Juan J Fuertes
Using low-cost open source hardware to control Puma560 motors Journal Article
In: IFAC-PapersOnLine, vol. 50, no. 1, pp. 9180-9185, 2017.
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2016
Miguel A Prada; Perfecto Reguera; Serafín Alonso; Antonio Morán; Juan J Fuertes; Manuel Domínguez
Communication with resource-constrained devices through MQTT for control education Journal Article
In: IFAC-PapersOnLine, vol. 49, no. 6, pp. 150–155, 2016, ISSN: 2405-8963.
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2015
Perfecto Reguera; Domingo García; Manuel Domínguez; Miguel A Prada; Serafín Alonso
A Low-Cost Open Source Hardware in Control Education. Case Study: Arduino-Feedback MS-150 Journal Article
In: IFAC-PapersOnLine, vol. 48, no. 29, pp. 117 - 122, 2015, ISSN: 2405-8963, (IFAC Workshop on Internet Based Control Education IBCE15 Italy), November 4-6, 2015).
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2014
Manuel Domínguez; Serafín Alonso; Juan J Fuertes; Miguel A Prada; Pablo Barrientos; others
OPC-DB Link for the Management of New Systems in a Remote Laboratory Proceedings Article
In: IFAC World Congress, pp. 9715–9720, 2014.
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2013
Manuel Domínguez; Juan J Fuertes; Miguel A Prada; Serafín Alonso; Antonio Morán; Pablo Barrientos
Education on Automatic Control for Professionals through the LRA-ULE Remote Laboratory Proceedings Article
In: 10th IFAC Symposium on Advances in Control Education (ACE 2013), pp. 90-95, International Federation of Automatic Control, Sheffield, 2013, ISBN: 978-3-902823-43-4.
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Miguel A Prada; Manuel Domínguez; Juan J Fuertes; Pablo Barrientos; Carlos Del J Canto; Sergio García
Remote Laboratory with an Electro-pneumatic Classification Cell Proceedings Article
In: 10th IFAC Symposium on Advances in Control Education (ACE 2013), pp. 351-356, International Federation of Automatic Control, Sheffield, 2013, ISBN: 978-3-902823-43-4.
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2012
Manuel Domínguez; Juan J Fuertes; Serafín Alonso; Antonio Morán; Miguel A Prada; Pablo Barrientos
A LabVIEW Middleware to Control and Monitor KNX Systems Proceedings Article
In: Proceedings of the 5th KNX Scientific Conference, Las Palmas, 2012.
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2011
Manuel Domínguez; Juan J Fuertes; Perfecto Reguera; Antonio Morán; Serafín Alonso; Miguel A Prada
Remote Laboratory for Learning of AC Drive Control Proceedings Article
In: Proceedings of the 8th World Congress of the International Federation of Automatic Control (IFAC 2011), Milán, Italia, 2011.
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Manuel Domínguez; Juan J Fuertes; Miguel A Prada; Serafín Alonso; Antonio Morán
Remote laboratory of a quadruple tank process for learning in control engineering using different industrial controllers Journal Article
In: Computer Applications in Engineering Education, pp. n/a–n/a, 2011, ISSN: 1099-0542.
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2010
Manuel Domínguez; Juan J Fuertes; Perfecto Reguera; Serafín Alonso; Antonio Morán; Diego Fernández
Gestión vía Internet de la iluminación en el Laboratorio Remoto de Automática de la Universidad de León Proceedings Article
In: XXXI Jornadas de Automática, Jaén, 2010.
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Inmaculada Plaza; Francisco Arcega; Manuel Castro; Martín Llamas; Edmundo Tovar; Gabriel Díaz; Francisco Falcone; José Á Sánchez; Francisco Mur; Manuel Caeiro; Manuel Dominguez; Rafael Pastor; Francisco Sánchez; Francisco Jurado; José Carpio
Engineering education research in Spain: A review through the education awards of CESEI IEEE Proceedings Article
In: Education Engineering (EDUCON), 2010 IEEE, pp. 105-110, 2010.
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Ignacio Díaz; Abel A Cuadrado; Alberto B Díez; Manuel Domínguez; Juan J Fuertes; Miguel A Prada
Visualization of Changes in Process Dynamics Using Self-Organizing Maps Book Section
In: Konstantinos Diamantaras; Wlodek Duch; Lazaros Iliadis (Ed.): Artificial Neural Networks - ICANN 2010, vol. 6353, pp. 343-352, Springer Berlin / Heidelberg, 2010.
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Manuel Domínguez; Juan J Fuertes; Perfecto Reguera; Serafín Alonso; Antonio Morán
Lighting management system using KNX in the remote laboratory of automatic control at the University of León Proceedings Article
In: KNX Scientific Conference, Pamplona, 2010.
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Jose L Guzmán; Manuel Domínguez; Manuel Berenguel; Juan J Fuertes; Francisco Rodríguez; Perfecto Reguera
Entornos de experimentación para la enseñanza de conceptos básicos de modelado y control Journal Article
In: Revista Iberoamericana de Automática e Informática Industrial, vol. 7, no. 1, pp. 10–22, 2010.
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2009
Ignacio Díaz; Abel A Cuadrado; Alberto B Díez; Juan J Fuertes; Manuel Domínguez; Miguel A Prada
Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps Proceedings Article
In: Dominic Palmer-Brown; Chrisina Draganova; Elias Pimenidis; Haris Mouratidis (Ed.): Engineering Applications of Neural Networks, pp. 119-130, Springer Berlin Heidelberg, 2009, ISBN: 978-3-642-03969-0.
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Manuel Domínguez; Juan J Fuertes; Perfecto Reguera; Miguel A Prada; Serafín Alonso; Antonio Morán; Fernando Friz; Alberto B Díez
Tool for instruction and learning on variable speed drives through the Internet. Proceedings Article
In: European Control Conference, ECC09, Budapest, Hungary, 2009.
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Manuel Domínguez; Juan J Fuertes; Perfecto Reguera; Miguel A Prada; Serafín Alonso; Antonio Morán
Premio 09 a la innovación en la enseñanza. Desarrollo de un laboratorio remoto para la formación vía internet en Automática. Book
Universidad de León. Consejo Social., 2009, ISBN: 978-84-936618-3-0.
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2008
Perfecto Reguera; Juan J Fuertes; Manuel Domínguez; Roberto García
Case-Based Reasoning and System Identification for Control Engineering Learning Journal Article
In: IEEE Transactions on Education, vol. 51, no. 2, pp. 271 -281, 2008, ISSN: 0018-9359.
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Juan J Fuertes; Miguel A Prada; Manuel Domínguez; Perfecto Reguera; Ignacio Díaz; Alberto B Díez
Visualization of dynamic parameters of a multivariable system using Self-Organizing Maps. Proceedings Article
In: 17th IFAC World Congress, Seoul, 2008.
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2007
Manuel Domínguez; Perfecto Reguera; Juan J Fuertes; Ignacio Díaz; Abel A Cuadrado
Internet-based remote Supervision of Industrial Processes using Self-organizing maps. Journal Article
In: Engineering Applications of Artificial Intelligence, vol. 20, no. 6, pp. 757–765, 2007.
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Manuel Domínguez; Juan J Fuertes; Perfecto Reguera
Integración de sistemas físicos externos en laboratorio remoto Proceedings Article
In: CEDI 2007. Congreso Español de Informática, Zaragoza, 2007.
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2006
Manuel Domínguez; Perfecto Reguera; Juan J Fuertes; José J González; Roberto García
Estación de supervisión remota como medio de apoyo y seguridad en la extinción de incendios forestales Proceedings Article
In: XXIV Jornadas Nacionales De Automática, CEA-IFAC, León, 2006, ISBN: 84-931846-7-5, (Dep. Legal: LE-999-2003).
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Juan J Fuertes
Modelado y Representación de la Dinámica de Sistemas Complejos mediante Técnicas de Đata Mining Visual para la Supervisión Remota de Procesos Industriales vía Internet. PhD Thesis
Universidad de Oviedo, 2006.
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Perfecto Reguera; Manuel Domínguez; H Alaiz; Juan J Fuertes; Miguel A Prada
Remote operation of ABB IRB 1400 S4 robot over the Internet Proceedings Article
In: 7th IFAC SYMPOSIUM ON ADVANCES IN CONTROL EDUCATION, Madrid, 2006, (Depósito legal M-26008-2006).
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2005
Perfecto Reguera; Juan J Fuertes; Manuel Domínguez; Bernardo A León
Active learning in control education Proceedings Article
In: Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on, pp. 2721 - 2726, 2005.
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Manuel Domínguez; Perfecto Reguera; Juan J Fuertes
Laboratorio Remoto para la Enseñanza de la Automática en la Universidad de León (España) Journal Article
In: Revista Iberoamericana de Automática e Informática Industrial, vol. 2, no. 2, pp. 36–45, 2005.
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Manuel Domínguez; Perfecto Reguera; Juan J Fuertes
Aprendizaje en automática mediante el acceso remoto vía Internet a Maquetas Industriales Proceedings Article
In: IEEE International Conference on Engineering and Computer Education, ICECE05, Madrid, 2005, ISBN: 84-6098149-5.
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Antonio A García; Manuel Berenguel; Jose L Guzmán; Sebastián Dormido; Manuel Domínguez
Laboratorio remoto para el proceso de los cuatro tanques y su aplicación en docencia de control multivariable Proceedings Article
In: IV Jornadas de enseñanza vía Web/Internet de la Ingeniería de Sistemas y Automática, EIWISA05, Granada, 2005, ISBN: 84-9732-451-X.
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2004
Manuel Domínguez; Juan J Fuertes; Perfecto Reguera
Docencia de automatización y control en la titulación de Ingeniero en Informática en la Universidad de León Proceedings Article
In: DocenWeb: Red Temática de Docencia en Control mediante Web (2003-2004), pp. 285–299, 2004, ISBN: 84-689-3386-4, (Depósito Legal: A-717-2005).
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Manuel Domínguez; Juan J Fuertes; Perfecto Reguera
Docencia de la asignatura Regulación Automática en la Universidad de León Proceedings Article
In: DocenWeb: Red Temática de Docencia en Control mediante Web (2003-2004), pp. 153–156, 2004, ISBN: 84-689-3386-4, (Depósito Legal: A-717-2005).
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Manuel Domínguez; Juan J Fuertes; Perfecto Reguera; José J González; Juan M Ramón
Maqueta industrial para docencia e investigación Journal Article
In: Revista Iberoamericana de Automática e Informática Industrial, vol. 1, no. 2, pp. 58–63, 2004.
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Perfecto Reguera
Formalización del Conocimiento de Procesos Simples con Fines Didácticos para la Ingeniería de Control PhD Thesis
Universidad de León, 2004.
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2003
Manuel Domínguez
Supervisión remota de procesos complejos vía Internet mediante Técnicas de Data Mining Visual. Aplicación a una planta piloto industrial. PhD Thesis
Universidad de Oviedo, 2003.
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Manuel Domínguez; Juan J Fuertes; Perfecto Reguera
Propuesta de laboratorio remoto. Universidad de León. Proceedings Article
In: I Jornadas Nacionales de Laboratorios Virtuales y Remotos, Madrid, 2003.
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Manuel Domínguez; Juan J Fuertes; Perfecto Reguera; José J González; Juan M Ramón
Maqueta industrial para control de 4 variables con fines docentes y de investigación Proceedings Article
In: XXIV Jornadas Nacionales de Automática. CEA-IFAC, León, 2003, ISBN: 84-931846-7-5, (Dep. Legal: LE-999-2003).
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2002
Manuel Domínguez; Ángel Alonso; Perfecto Reguera; José J González; Juan J Fuertes
Optimización de tiempos en el acceso remoto vía Internet a planta piloto para prácticas Proceedings Article
In: Enseñanza Vía Internet/web de la Ingeniería de Sistemas y Automática, pp. 51–55, Editorial Club Universitario, 2002, ISBN: 84-8454-159-2.
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2001
Manuel Domínguez; Perfecto Reguera; Juan J Fuertes; David Marcos; F Blazquez
Connection Pilot Plant to Internet. Proceedings Article
In: IBCE01 IFAC Workshop on Internet based control education, pp. 43-47, 2001, ISBN: 0-08-043984-5.
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1999
Manuel Domínguez; Alberto B Díez
Diseño de un sistema de supervisión y monitorización para el grupo II de la central térmica de La Robla. Unión Fenosa. León. Proceedings Article
In: XV Congreso Nacional de Ingeniería de Proyectos, León, 1999.
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