• 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 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 ...