• 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 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 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, ...
    • Intelligent one-class classifiers for the development of an intrusion detection system: the MQTT case study 

      Jove, Esteban; Aveleira Mata, Jose Antonio; Alaiz Moretón, Héctor; Casteleiro-Roca, José-Luis; Marcos del Blanco, David Yeregui; Zayas-Gato, Francisco; Quintián, Héctor; Calvo-Rolle, José Luis (MDPI, 2022-01-30)
      [Abstarct] The ever-increasing number of smart devices connected to the internet poses an unprecedented security challenge. This article presents the implementation of an Intrusion Detection System (IDS) based on the ...