Browsing by Author "76247f9e-d85c-4068-bf75-9a7181c129f3"

Now showing items 1-4 of 4

    • Capsule neural networks for structural damage localization and quantification using transmissibility data 
      Figueroa Barraza, Joaquín; López Droguett, Enrique; Meruane Naranjo, Viviana; Ramos Martins, Marcelo (Elsevier, 2020)
      One of the current challenges in structural health monitoring (SHM) is to take the most advantage of large amounts of data to deliver accurate damage measurements and predictions. Deep Learning methods tackle these ...
    • Deep learning health state prognostics of physical assets in the Oil and Gas industry 
      Figueroa Barraza, Joaquín Eduardo; Guarda Brauning, Luis; Benites Pérez, Ruben; Bittencourt Morais, Carlos; Ramos Martins, Marcelo; López Droguett, Enrique (Sage, 2020)
      Due to its capital-intensive nature, the Oil and Gas industry requires high operational standards to meet safety and environmental requirements, while maintaining economical returns. In this context, maintenance policies ...
    • Human reliability analysis of ship maneuvers in harbor areas 
      Martins Pereira de Abreu, Danilo Taverna; Coelho Maturana, Marcos; López Droguett, Enrique; Ramos Martins, Marcelo (ASME, 2020)
      During a ship life cycle, one of the most critical phases in terms of safety refers to harbor maneuvers, which take place in restricted and congested waters, leading to higher collision and grounding risks in comparison ...
    • Revisiting past refinery accidents from a human reliability analysis perspective: the BP Texas city and the ... 
      Abílio Ramos, Marilia; López Droguett, Enrique; Mosleh, Ali; das Chagas Moura, Marcio; Ramos Martins, Marcelo (Wiley, 2017)
      Despite the oil industry's efforts in improving safety, it still presents a high rate of serious accidents, many involving human failure events (HFE), which can be identified, modelled, and quantified through human reliability ...