• A distributed topology for identifying anomalies in an industrial environment 

      Zayas-Gato, Francisco; Michelena, Álvaro; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Novais, Paulo; Méndez Pérez, Juan Albino; Calvo-Rolle, José Luis (Springer, 2022)
      [Abstract] The devastating consequences of climate change have resulted in the promotion of clean energies, being the wind energy the one with greater potential. This technology has been developed in recent years following ...
    • 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 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 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 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 ...
    • A One-Class-Based Supervision System to Detect Unexpected Events in Wastewater Treatment Plants 

      Arcano-Bea, Paula; Timiraos, Míriam; Díaz-Longueira, Antonio; Michelena, Álvaro; Jove, Esteban; Calvo-Rolle, José Luis (MDPI, 2024)
      [Abstract] The increasing importance of water quality has led to optimizing the operation of Wastewater Treatment Plants. This implies the monitoring of many parameters that measure aspects such as solid suspension, ...
    • Advanced Visualization of Intrusions in Flows by Means of Beta-Hebbian Learning 

      Quintián, Héctor; Jove, Esteban; Casteleiro-Roca, José-Luis; Urda Muñoz, Daniel; Arroyo, Ángel; Calvo-Rolle, José Luis; Herrero, Alvaro; Corchado, Emilio (Oxford University Press, 2022-12)
      [Abstract] Detecting intrusions in large networks is a highly demanding task. In order to reduce the computation demand of analysing every single packet travelling along one of such networks, some years ago flows were ...
    • 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 ...
    • 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 ...
    • Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach 

      García-Ordás, María Teresa; Marcos del Blanco, David Yeregui; Aveleira Mata, Jose Antonio; Zayas-Gato, Francisco; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Calvo-Rolle, José Luis; Alaiz Moretón, Héctor (Oxford University Press, 2024-05-09)
      [Abstract] Batteries are a fundamental storage component due to its various applications in mobility, renewable energies and consumer electronics among others. Regardless of the battery typology, one key variable from a ...
    • Detección de anomalías basada en técnicas inteligentes de una planta de obtención de material bicomponente empleado en la fabricación de palas de aerogenerador 

      Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Méndez Pérez, Juan Albino; Calvo-Rolle, José Luis (Universitat Politècnica de València, 2020)
      [Resumen] Los avances tecnológicos en general, y en el ámbito de la industria en particular, conllevan el desarrollo y optimización de las actividades que en ella tienen lugar. Para alcanzar este objetivo, resulta de vital ...
    • Development of an Intelligent Classifier Model for Denial of Service Attack Detection 

      Michelena, Álvaro; Aveleira Mata, Jose Antonio; Jove, Esteban; Alaiz Moretón, Héctor; Quintián, Héctor; Calvo-Rolle, José Luis (UNIR, 2023)
      [Abstract] The prevalence of Internet of Things (IoT) systems deployment is increasing across various domains, from residential to industrial settings. These systems are typically characterized by their modest computationa ...
    • Experiencia blended learning apoyada en un laboratorio virtual para educación de materias STEM 

      Arce Fariña, Elena; Zayas-Gato, Francisco; Suárez-García, Andrés; Michelena, Álvaro; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Calvo-Rolle, José Luis (Sociedad Española de Pedagogía, 2022-12)
      [Resumen] INTRODUCCIÓN. La reciente pandemia provocada por la COVID-19 ha supuesto numerosos cambios en los protocolos de salud pública, así como un profundo impacto socioeconómico. Políticas como el distanciamiento social ...
    • 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 ...
    • Intelligent model for active power prediction of a small wind turbine 

      Zayas-Gato, Francisco; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Pérez Castelo, Francisco Javier; Piñón-Pazos, A.; Arce Fariña, Elena; Calvo-Rolle, José Luis (Oxford University Press, 2023-08)
      [Abstract] In this study, a hybrid model based on intelligent techniques is developed to predict the active power generated in a bioclimatic house by a low power wind turbine. Contrary to other researches that predict the ...
    • 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 ...