• A protection strategy for fault detection and location for multi-terminal MVDC distribution systems with renewable energy systems 

      Monadi, Mehdi; Koch-Ciobotaru, Cosmin; Luna Alloza, Álvaro; Candela García, José Ignacio; Rodríguez Cortés, Pedro (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      A fault location method and a fault clearance strategy are presented in this paper for medium voltage dc (MVDC) distribution system. MVDC systems are applicable for connection between microgrids (MGs) and integration of ...
    • Abnormal quality detection and isolation in water distribution networks using simulation models 

      Nejjari Akhi-Elarab, Fatiha; Pérez Magrané, Ramon; Puig Cayuela, Vicenç; Quevedo Casín, Joseba Jokin; Cugueró Escofet, Miquel Àngel; Sanz Estapé, Gerard; Mirats Tur, Josep Maria (2011)
      Text en actes de congrés
      Accés restringit per decisió de l'autor
    • An experimental platform for statistical fault diagnosis in propelled mechanical systems: an academic exercise 

      Acho Zuppa, Leonardo; Buenestado Caballero, Pablo (2019-06-20)
      Article
      Accés obert
      Statistical data analysis for fault diagnosis in mechanical systems is a fundamental tool, for instance, in applied mechanical engineering. In order to capture a feasible data set, a well designed electronic instrumentation ...
    • EMA fault detection using fuzzy inference tools 

      Cusidó Roura, Jordi; Delgado Prieto, Miquel; Romeral Martínez, José Luis (2012-03-02)
      Capítol de llibre
      Accés obert
      Acoustic emission (AE) is one of the most important non-destructive testing (NDT) methods for materials, constructions and machines. Acoustic emission is defined as the transient elastic energy that is spontaneously released ...
    • Fault detection and isolation for autonomous mobile robot systems 

      Ruiz Royo, Adrián (Universitat Politècnica de Catalunya, 2014-06-30)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      This Project is about the fault detection and isolation with a tolerant control for autonomous mobile robot systems. The omnidirectional robot model is developed to obtain a benchmark that can be implemented as a simulator. ...
    • Fault detection and isolation using viability theory and interval observers 

      Ghaniee Zarch, Majid; Puig Cayuela, Vicenç; Poshtan, Javad (2016)
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      This paper proposes the use of interval observers and viability theory in fault detection and isolation (FDI). Viability theory develops mathematical and algorithmic methods for investigating the adaptation to ...
    • Fault detection based on Lyapunov exponents estimation for stabilized mechanical systems 

      Puzzyrov, Volodymyr; Acho Zuppa, Leonardo; Pujol Vázquez, Gisela; Rodellar Benedé, José (2019-04)
      Article
      Accés obert
      We study a stabilizable mechanical system in the vicinity of an equilibrium position. This position, as a rule, is unstable, and the system is underactuated. It is assumed that faults affect the technical process and its ...
    • Fault diagnosis using the incremental learning algorithm with support vector machine 

      Ardakani, Mohammad Hamed; Graells Sobré, Moisès; Escudero Bakx, Gerard (2015)
      Comunicació de congrés
      Accés obert
      To prevent process interruption and eventual losses, the need for a reliable fault detection and diagnosis system (FDD) is completely acknowledged. Besides the capability to recognize known faults automatically, a further ...
    • LPV model-based fault diagnosis using relative fault sensitivity signature approach in a PEM fuel cell 

      Lira Ramírez, Salvador de; Puig Cayuela, Vicenç; Quevedo Casín, Joseba Jokin; Husar, Attila Peter (IEEE Press. Institute of Electrical and Electronics Engineers, 2010)
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      In this paper, a model-based fault diagnosis methodology for PEM fuel cell systems is presented. The methodology is based on computing residuals using a LPV observer. Fault detection is based on using adaptive threshold ...