ListarLaboratorio de Investigación e Desenvolvemento en Intelixencia Artificial (LIDIA) por tema "Predictive maintenance"

Mostrando ítems 1-3 de 3

    • Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry 

      Fernandes, Marta; Canito, Alda; Bolón-Canedo, Verónica; Conceição, Luís; Praça, Isabel; Marreiros, Goreti (Elsevier Ltd, 2019-06)
      [Abstract]: Proactive Maintenance practices are becoming more standard in industrial environments, with a direct and profound impact on the competitivity within the sector. These practices demand the continuous monitorization ...

    • Data-driven predictive maintenance framework for railway systems 

      Meira, Jorge; Veloso, Bruno; Bolón-Canedo, Verónica; Marreiros, Goreti; Alonso-Betanzos, Amparo; Gama, João (IOS Press, 2023)
      [Abstract]: The emergence of the Industry 4.0 trend brings automation and data exchange to industrial manufacturing. Using computational systems and IoT devices allows businesses to collect and deal with vast volumes of ...

    • SOPRENE: Assessment of the Spanish Armada’s Predictive Maintenance Tool for Naval Assets 

      Fernández Barrero, David; Fontenla-Romero, Óscar; Lamas-López, Francisco; Novoa-Paradela, David; R-Moreno, María; Sanz, David (MDPI, 2021)
      [Abstract] Predictive maintenance has lately proved to be a useful tool for optimizing costs, performance and systems availability. Furthermore, the greater and more complex the system, the higher the benefit but also the ...