Now showing items 1-2 of 2

    • Enhanced Industrial Machinery Condition Monitoring Methodology based on Novelty Detection and Multi-Modal Analysis 

      Cariño Corrales, Jesús Adolfo; Delgado Prieto, Miquel; Zurita Millán, Daniel; Millan, Marta; Ortega Redondo, Juan Antonio; Romero Troncoso, Rene De Jesus (Institute of Electrical and Electronics Engineers (IEEE), 2016-10-19)
      Article
      Open Access
      This paper presents a condition-based monitoring methodology based on novelty detection applied to industrial machinery. The proposed approach includes both, the classical classification of multiple a priori known scenarios, ...
    • Fault detection and identification methodology under an incremental learning framework applied to industrial machinery 

      Cariño Corrales, Jesús Adolfo; Delgado Prieto, Miquel; Iglesias Martínez, José Antonio; Sanchís, Araceli; Zurita Millán, Daniel; Millan, Marta; Ortega Redondo, Juan Antonio; Romero Troncoso, René (Institute of Electrical and Electronics Engineers (IEEE), 2018-09-03)
      Article
      Open Access
      An industrial machinery condition monitoring methodology based on ensemble novelty detection and evolving classification is proposed in this study. The methodology contributes to solve current challenges dealing with ...