• Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks 

      Delgado Prieto, Miquel; Cirrincione, Giansalvo; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Henao, Humberto (Institute of Electrical and Electronics Engineers (IEEE), 2013-08)
      Article
      Accés restringit per política de l'editorial
      Bearing degradation is the most common source of faults in electrical machines. In this context, this work presents a novel monitoring scheme applied to diagnose bearing faults. Apart from detecting local defects, i.e., ...