Now showing items 1-3 of 3

    • A novel condition monitoring scheme for bearing faults based on Curvilinear Component Analysis and hierarchical neural networks 

      Delgado Prieto, Miquel; Cirrincione,, Giansalvo; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Henao, Humberto (2012)
      Conference report
      Restricted access - publisher's policy
      Mostly the faults in electrical machines are related with the bearings. Thus, a reliable bearing condition monitoring scheme able to detect either local or distributed defects are mandatory to avoid a breakdown in the ...
    • Accurate Bearing Faults Classification based on Statistical-Time Features, Curvilinear Component Analysis and Neural Networks 

      Delgado Prieto, Miquel; Cirrincione,, Giansalvo; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Henao, Humberto (2012)
      Conference report
      Restricted access - publisher's policy
      Bearing faults are the commonest form of malfunction associated with electrical machines. So far, the research has been carried out mainly in the detection of localized faults, but the diagnosis of distributed faults ...
    • Bearing fault diagnosis by EXIN CCA 

      Cirrincione,, Giansalvo; Henao, Humberto; Delgado Prieto, Miquel; Ortega Redondo, Juan Antonio (IEEE Computer Society Publications, 2012)
      Conference report
      Open Access
      EXIN CCA is an extension of the Curvilinear Component Analysis (CCA), which solves for the noninvariant CCA projection and allows representing data drawn under different operating conditions. It can be applied to data ...