Now showing items 1-20 of 69

    • 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 Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters 

      Michelena, Álvaro; López, Víctor; Lamas-López, Francisco; Arce Fariña, Elena; Mendoza García, José; Suárez-García, Andrés; García Espinosa, Guillermo; Calvo-Rolle, José Luis; Quintián, Héctor (MDPI, 2023-03-23)
      [Abstract] Systems engineering plays a key role in the naval sector, focusing on how to design, integrate, and manage complex systems throughout their life cycle; it is therefore difficult to conceive functional warships ...
    • A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers 

      Crespo Turrado, Concepción; Sánchez Lasheras, Fernando; Calvo-Rolle, José Luis; Piñón-Pazos, A.; Melero, Manuel G.; Cos Juez, Francisco Javier de (Multidisciplinary Digital Publishing Institute, 2016)
      The storage of data is a key process in the study of electrical power networks related to the search for harmonics and the finding of a lack of balance among phases. The presence of missing data of any of the main electrical ...
    • 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 Intelligent Modeling approach for predicting the solar thermal panel energy production 

      Arroyo, Ángel; Basurto, Nuño; Casado Vara, Roberto; Timiraos, Míriam; Calvo-Rolle, José Luis (Elsevier, 2024-01-14)
      [Abstract] There is no doubt that the European Union is undergoing an ecological transition, with renewable energies accounting for an increasing share of energy consumption in the Member States. In Spain, solar energy is ...
    • A Hybrid Intelligent System to Forecast Solar Energy Production 

      Basurto, Nuño; Arroyo, Ángel; Vega-Vega, Rafael A.; Héctor, Quintián; Calvo-Rolle, José Luis (Elsevier, 2019-08-07)
      [Abstarct]: There is wide acknowledgement that solar energy is a promising and renewable source of electricity. However, complementary sources are sometimes required, due to its limited capacity, in order to satisfy user ...
    • 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 New Missing Data Imputation Algorithm Applied to Electrical Data Loggers 

      Crespo Turrado, Concepción; Sánchez Lasheras, Fernando; Calvo-Rolle, José Luis; Piñón-Pazos, A.; Cos Juez, Francisco Javier de (Multidisciplinary Digital Publishing Institute, 2015)
      Nowadays, data collection is a key process in the study of electrical power networks when searching for harmonics and a lack of balance among phases. In this context, the lack of data of any of the main electrical variables ...
    • A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport 

      Michelena, Álvaro; Aveleira Mata, Jose Antonio; Jove, Esteban; Bayón Gutiérrez, Martín; Novais, Paulo; Fontenla-Romero, Óscar; Calvo-Rolle, José Luis; Alaiz Moretón, Héctor (Wiley, 2024)
      [Abstract]: One of the most common attacks is man-in-the-middle (MitM) which, due to its complex behaviour, is difficult to detect by traditional cyber-attack detection systems. MitM attacks on internet of things systems ...
    • A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport 

      Michelena, Álvaro; Aveleira Mata, Jose Antonio; Jove, Esteban; Bayón Gutiérrez, Martín; Novais, Paulo; Fontenla-Romero, Óscar; Calvo-Rolle, José Luis; Alaiz Moretón, Héctor (Wiley, 2024-02)
      [Abstract]: One of the most common attacks is man-in-the-middle (MitM) which, due to its complex behaviour, is difficult to detect by traditional cyber-attack detection systems. MitM attacks on internet of things systems ...
    • 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 ...
    • An application of a hybrid intelligent system for diagnosing primary headaches 

      Simić, Svetlana; Villar, José R.; Calvo-Rolle, José Luis; Sekulić, Slobodan R.; Simić, Svetislav D.; Simić, Dragan (MDPI, 2021)
      [Abstract] (1) Background: Modern medicine generates a great deal of information that stored in medical databases. Simultaneously, extracting useful knowledge and making scientific decisions for diagnosis and treatment of ...
    • An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context 

      Díaz-Longueira, Antonio; Rubiños, Manuel; Arcano-Bea, Paula; Calvo-Rolle, José Luis; Quintián, Héctor; Zayas-Gato, Francisco (MDPI, 2024-05)
      [Abstract] Growing dependence on fossil fuels is one of the critical factors accelerating climate change, a global concern that can destabilize ecosystems and economies worldwide. In this context, renewable energy is ...
    • Análisis del estado actual de las técnicas en instrumentos inteligentes 

      Piñón-Pazos, A.; Ferreiro García, Ramón; Calvo-Rolle, José Luis; Pérez Castelo, Francisco Javier (Universidad de Alicante, 2005-09)
      [Resumen] Este artículo presenta el estado actual de las distintas técnicas adoptadas en la instrumentación inteligente. Se presentan los principales métodos de corrección de errores, las técnicas de detección y aislamiento ...
    • 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 ...
    • Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families 

      Basurto, Nuño; García-Prieto, Diego; Quintián, Héctor; Urda Muñoz, Daniel; Calvo-Rolle, José Luis; Corchado, Emilio (Oxford University Press, 2024-05-20)
      [Abstract] As it is well known, mobile phones have become a basic gadget for any individual that usually stores sensitive information. This mainly motivates the increase in the number of attacks aimed at jeopardizing ...
    • 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 ...