Listar GI-CTC - Artigos por autor "Casteleiro-Roca, José-Luis"

Mostrando ítems 1-20 de 26

    • A fault detection system based on unsupervised techniques for industrial control loops 

      Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Méndez Pérez, Juan Albino; Calvo-Rolle, José Luis (Wiley, 2019-08)
      [Abstract] This research describes a novel approach for fault detection in industrial processes, by means of unsupervised and projectionist techniques. The proposed method includes a visual tool for the detection of faults, ...

    • A fault detection system for a geothermal heat exchanger sensor based on intelligent techniques 

      Alaiz Moretón, Héctor; Castejón Limas, Manuel; Casteleiro-Roca, José-Luis; Jove, Esteban; Fernández-Robles, Laura; Calvo-Rolle, José Luis (MDPI, 2019-06-18)
      [Abstract ]:This paper proposes a methodology for dealing with an issue of crucial practical importance in real engineering systems such as fault detection and recovery of a sensor. The main goal is to define a strategy ...

    • A hybrid intelligent model to predict the hydrogen concentration in the producer gas from a downdraft gasifier 

      Aguado, Roque; Casteleiro-Roca, José-Luis; Vera, David; Calvo-Rolle, José Luis (Elsevier, 2022-06-05)
      [Abstract] This research work presents an artificial intelligence approach to predicting the hydrogen concentration in the producer gas from biomass gasification. An experimental gasification plant consisting of an air-blown ...

    • A hybrid one-class approach for detecting anomalies in industrial systems 

      Zayas-Gato, Francisco; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Piñon-Pazos, A.; Dragan, Simić; Calvo-Rolle, José Luis (John Wiley & Sons Ltd, 2022-03-08)
      [Abstract]: The significant advance of Internet of Things in industrial environments has provided the possibility of monitoring the different variables that come into play in an industrial process. This circumstance allows ...

    • A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections 

      Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Méndez Pérez, Juan Albino; Calvo-Rolle, José Luis (Elsevier, 2020-08-19)
      [Abstract] The implementation of anomaly detection systems represents a key problem that has been focusing the efforts of scientific community. In this context, the use one-class techniques to model a training set of ...

    • A novel method for anomaly detection using beta Hebbian learning and principal component analysis 

      Zayas-Gato, Francisco; Michelena, Álvaro; Quintián, Héctor; Jove, Esteban; Casteleiro-Roca, José-Luis; Leitão, Paulo; Calvo-Rolle, José Luis (Oxford University Press, 2023-04)
      [Abstract] In this research work a novel two-step system for anomaly detection is presented and tested over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta Hebbian Learning algorithm, ...

    • A one-class classifier based on a hybrid topology to detect faults in power cells 

      Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Zayas-Gato, Francisco; Vercelli, Gianni; Calvo-Rolle, José Luis (Oxford University Press, 2022-08-01)
      [Abstract]: The use of batteries became essential in our daily life in electronic devices, electric vehicles and energy storage systems in general terms. As they play a key role in many devices, their design and implementation ...

    • Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices 

      Michelena, Álvaro; García-Ordás, María Teresa; Aveleira Mata, Jose Antonio; Marcos del Blanco, David Yeregui; Timiraos, Míriam; Zayas-Gato, Francisco; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Alaiz-Moretón, Héctor; Calvo-Rolle, José Luis (Oxford University Press, 2024-04)
      [Abstract] This paper aims to enhance security in IoT device networks through a visual tool that utilizes three projection techniques, including Beta Hebbian Learning (BHL), t-distributed Stochastic Neighbor Embedding ...

    • Bio-inspired model of ground temperature behavior on the horizontal geothermal exchanger of an installation based on a heat pump 

      Casteleiro-Roca, José-Luis; Calvo-Rolle, José Luis; Meizoso-López, María-Carmen; Piñón-Pazos, A.; Rodríguez Gómez, Benigno Antonio (Elsevier, 2015-02-20)
      [Abstract] Nowadays the Heat Pump is one of the best systems to warm a building with a good performance. Usually, with the aim to increase the efficiency, a geothermal heat exchanger is added to the installation. This ...

    • Bioinspired hybrid model to predict the hydrogen inlet fuel cell flow change of an energy storage system 

      Alaiz Moretón, Héctor; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; López García, Hilario; Benítez-Andrades, José Alberto; Novais, Paulo; Calvo-Rolle, José Luis (MDPI, 2019-11-07)
      [Abstract]: The present research work deals with prediction of hydrogen consumption of a fuel cell in an energy storage system. Due to the fact that these kind of systems have a very nonlinear behaviour, the use of traditional ...

    • Comparative study of imputation algorithms applied to the prediction of student performance 

      Crespo Turrado, Concepción; Casteleiro-Roca, José-Luis; Sánchez Lasheras, Fernando; López-Vázquez, José-Antonio; De Cos Juez, Francisco Javier; Pérez Castelo, Francisco Javier; Calvo-Rolle, José Luis; Corchado, Emilio (Oxford University Press, 2019-12-27)
      [Abstract]: Student performance and its evaluation remain a serious challenge for education systems. Frequently, the recording and processing of students’ scores in a specific curriculum have several f laws for various ...

    • Data dimensionality reduction for an optimal switching mode classification applied to a step-down power converter 

      Fernández-Serantes, Luis-Alfonso; Casteleiro-Roca, José-Luis; Berger, Hubert; Simić, Dragan; Calvo-Rolle, José Luis (Oxford University Press, 2024)
      [Abstract] A dimensional reduction algorithm is applied to an intelligent classification model with the purpose of improving the efficiency and accuracy. The proposed classification model, used to distinguish the operating ...

    • Electromyogram prediction during anesthesia by using a hybrid intelligent model 

      Casteleiro-Roca, José-Luis; Gomes, Marco; Méndez Pérez, Juan Albino; Alaiz Moretón, Héctor; Meizoso-López, María-Carmen; Rodríguez Gómez, Benigno Antonio; Calvo-Rolle, José Luis (Springer Nature, 2019-08-23)
      [Abstract] In the search for new and more efficient ways to administer drugs, clinicians are turning to engineering tools. The availability of these models to predict physiological variables are a significant factor. A ...

    • Fuel cell hybrid model for predicting hydrogen inflow through energy demand 

      Casteleiro-Roca, José-Luis; Barragán, Antonio Javier; Segura Manzano, Francisca; Calvo-Rolle, José Luis; Andújar-Márquez, José Manuel (MDPI, 2019-11-10)
      [Abstract]: Hydrogen-based energy storage and generation is an increasingly used technology, especially in renewable systems because they are non-polluting devices. Fuel cells are complex nonlinear systems, so a good model ...

    • Gasificación de biomasa 

      Casteleiro-Roca, José-Luis; Zayas-Gato, Francisco; Díaz-Longueira, Antonio; Timiraos, Míriam; Arcano-Bea, Paula; Quintián, Héctor; Jove, Esteban; Michelena, Álvaro; Calvo-Rolle, José Luis (Universidad de Guayaquil, 2023-12-23)
      [Resumen]: La gasificación de biomasa es un proceso termoquímico que convierte materia orgánica en un gas de síntesis, útil en calderas o motores. Este gas contiene monóxido de carbono, hidrógeno, dióxido de carbono, metano, ...

    • Gestión de la energía en sistemas renovables híbridos 

      Jove, Esteban; Díaz-Longueira, Antonio; Arcano-Bea, Paula; Timiraos, Míriam; Michelena, Álvaro; Zayas-Gato, Francisco; Quintián, Héctor; Casteleiro-Roca, José-Luis; Calvo-Rolle, José Luis (Universidad de Guayaquil, 2023-12-23)
      [Abstract]: Este documento se centra en el análisis de soluciones ante la necesidad de diseñar el sistema de alimentación de una instalación modular y móvil encargada de monitorizar la calidad del agua de un río. Esta ...

    • Hybrid Intelligent Modelling in Renewable Energy Sources-Based Microgrid. A Variable Estimation of the Hydrogen Subsystem Oriented to the Energy Management Strategy 

      Casteleiro-Roca, José-Luis; Vivas, Francisco José; Segura, Francisco; Barragán, Antonio Javier; Calvo-Rolle, José Luis; Andújar-Márquez, José Manuel (MDPI, 2020)
      [Abstract] This work deals with the prediction of variables for a hydrogen energy storage system integrated into a microgrid. Due to the fact that this kind of system has a nonlinear behaviour, the use of traditional ...

    • Hybrid intelligent system for a synchronous rectifier converter control and soft switching ensurement 

      Fernández-Serantes, Luis Alfonso; Casteleiro-Roca, José-Luis; Berger, Hubert; Calvo-Rolle, José Luis (Elsevier, 2022-11)
      [Abastract]: This research implements an intelligent control strategy in a synchronous rectifier buck converter to assure that the converter operates in soft-switching mode. The converter is analysed and the two different ...

    • Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries 

      Casteleiro-Roca, José-Luis; Calvo-Rolle, José Luis; Méndez Pérez, Juan Albino; Roqueñí, Nieves; Cos Juez, Francisco Javier de (Multidisciplinary Digital Publishing Institute, 2017)
      This paper presents a new fault detection system in hypnotic sensors used for general anesthesia during surgery. Drug infusion during surgery is based on information received from patient monitoring devices; accordingly, ...

    • Intelligent Model for Power Cells State of Charge Forecasting in EV 

      López, Víctor; Jove, Esteban; Zayas-Gato, Francisco; Pinto-Santos, Francisco; Piñón-Pazos, A.; Casteleiro-Roca, José-Luis; Quintián, Héctor; Calvo-Rolle, José Luis (MDPI, 2022-07-19)
      [Abstract] In electric vehicles and mobile electronic devices, batteries are one of the most critical components. They work by using electrochemical reactions that have been thoroughly investigated to identify their behavior ...