Exploració per tema "Electromechanical systems"

Ara es mostren els items 1-5 de 5

    • Anomaly detection in electromechanical systems by means of deep-autoencoder 

      Arellano Espitia, Francisco; Delgado Prieto, Miquel; Martínez Viol, Víctor; Fernández Sobrino, Ángel; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      Anomaly detection in manufacturing processes is one of the main concerns in the new era of the Industry 4.0 framework. The detection of uncharacterized events represents a major challenge within the operation monitoring ...

    • Artificial intelligence applied to electromechanical monitoring, a performance analysis 

      Osterc, Staš (Universitat Politècnica de Catalunya, 2020-01-05)
      Treball Final de Grau
      Accés obert
      Realitzat a/amb:   Univerza v Mariboru
      Artificial intelligence is a wide concept and it’s being used in more and more machine applications, teaching them to perform tasks which would require human intelligence. The implemented algorithm requires samples of ...

    • Modeling and control of electromechanical systems 

      Batlle Arnau, Carles; Dòria Cerezo, Arnau (2005-07)
      Report de recerca
      Accés obert
      The material presented in the these notes covers the sessions Modelling of electromechanical systems, Passive control theory I and Passive control theory II of the II EURON/GEOPLEX Summer School on Modelling and Control ...

    • Multidimensional intelligent diagnosis system based on support vector machines classifier 

      Delgado Prieto, Miquel; Ortega Redondo, Juan Antonio; García Espinosa, Antonio; Cárdenas Araújo, Juan José; Romeral Martínez, José Luis (2012)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Heding the diagnostic requirements of electromechanical systems applied in automotive and aeronautical sectors, a multidimensional diagnostic system based on Support Vector Machine classifier is presented in this paper. ...

    • Novel condition monitoring approach based on hybrid feature extraction and neural network for assessing multiple faults in electromechanical systems 

      Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A.; Romero Troncoso, René; Delgado Prieto, Miquel; Arellano Espitia, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      New challenges involve the development of new condition monitoring approaches to avoid unexpected downtimes and to ensure the availability of machines during operating working conditions. The feature calculation from ...