• 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 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 ...
    • Deep learning en la predicción de generación de un parque eólico 

      Torres, Jesús Miguel; Aguilar, Rosa María; Méndez Pérez, Juan Albino; Zúñiga-Meneses, K.V. (Comité Español de Automática, 2016)
      [Resumen] Uno de los grandes retos tecnológicos actuales es la incorporación de las energías renovables al sistema eléctrico. El objetivo es conseguir que la generación eléctrica sea sostenible y respetuosa con el ...
    • Diseño de un gemelo digital para el gestor de operaciones de una lavandería industrial 

      González Rodríguez, Germán; González-Cava, José Manuel; Jove, Esteban; Calvo-Rolle, José Luis; Méndez Pérez, Juan Albino (Universidade da Coruña, Servizo de Publicacións, 2019)
      [Resumen] En este trabajo se presenta una metodología para desarrollar un gemelo digital para un proceso industrial. El proceso es una lavandería industrial hospitalaria que puede ser caracterizada como una cadena de ...
    • 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 ...
    • Experimental Techniques to Measure Hypnotic Levels During Surgery 

      Alfonso, Gerardo; Méndez Pérez, Juan Albino; Aguilar, Rosa María; Torres Jorge, Jesús; Torres, Santiago; Gómez González, José Francisco; Reboso Morales, José Antonio; Martín Lorenzo, María; Calvo-Rolle, José Luis (Comité Español de Automática, 2016)
      [Abstract] The administration of anesthetics during a surgical procedure has been done historically in a manual way with the anesthesiologist deciding what amounts and at what rates to use. Over the last few decades there ...
    • 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, ...
    • Neuro-fuzzy en el modelado del comportamiento de usuarios-turísticos en eWOM 

      Aguilar, Rosa María; Torres, Jesús Miguel; Méndez Pérez, Juan Albino; Parra-López, Eduardo (Comité Español de Automática, 2016)
      [Resumen] La tecnología ha cambiado la forma de gestionar los viajes, la relación entre el viajero y las empresas del sector turístico y la forma en que los turistas comparten las experiencias del viaje. La transformación ...
    • Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling 

      Casteleiro-Roca, José-Luis; Gómez-González, José-Francisco; Calvo-Rolle, José Luis; Jove, Esteban; Quintián, Héctor; González-Díaz, Benjamin; Méndez Pérez, Juan Albino (MDPI, 2019)
      [Abstract] The hotel industry is an important energy consumer that needs efficient energy management methods to guarantee its performance and sustainability. The new role of hotels as prosumers increases the difficulty ...
    • Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring 

      Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Méndez Pérez, Juan Albino; Calvo-Rolle, José Luis (Vilnius University, 2019)
      [Abstract] The present research shows the implementation of a virtual sensor for fault detection with the feature of recovering data. The proposal was implemented over a bicomponent mixing machine used for the wind generator ...