Exploració per autor "Rosich Oliva, Albert"

Ara es mostren els items 1-9 de 9

    • Efficient optimal sensor placement for structural model based diagnosis 

      Rosich Oliva, Albert; Yassine, Abed Alrahim; Ploix, Stéphane (2010)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This work aims to study which sensors are required to be installed in a process in order to improve certain fault diagnosis specifications. Especially, the present method is based on structural models, thus system models ...

    • Fault diagnosis based on causal computations 

      Rosich Oliva, Albert; Frisk, Erik; Åslund, Jan; Sarrate Estruch, Ramon; Nejjari Akhi-Elarab, Fatiha (2012-03-23)
      Article
      Accés restringit per decisió de l'autor
      This paper focuses on residual generation for model-based fault diagnosis. Specifically, a methodology to derive residual generators when nonlinear equations are present in the model is developed. A main result is the ...

    • Model-based optimal sensor placement approaches to fuel cell stack system fault diagnosis 

      Sarrate Estruch, Ramon; Nejjari Akhi-Elarab, Fatiha; Rosich Oliva, Albert (2012)
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      The problem of optimal sensor placement for FDI consists in d etermining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre-established set of FDI specifications ...

    • Optimal Sensor Placement For Fuel Cell System Diagnosis using BILP Formulation 

      Nejjari Akhi-Elarab, Fatiha; Sarrate Estruch, Ramon; Rosich Oliva, Albert (IEEE Press. Institute of Electrical and Electronics Engineers, 2010)
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      This paper presents the application of a new methodology for Fault Detection and Isolation (FDI) to a Fuel Cell System. The work is devoted to find an optimal set of sensors for model-based FDI. The novelty is that binary ...

    • Optimal sensor placement for leakage detection and isolation in water distribution networks 

      Rosich Oliva, Albert; Sarrate Estruch, Ramon; Nejjari Akhi-Elarab, Fatiha (2012)
      Text en actes de congrés
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      In this paper, the problem of leakage detection and isolation in water distribution networks is addressed applying an optimal sensor placement methodology. The chosen technique is based on structural models and thus it is ...

    • Reducing energy consumption in an industrial process by using model predictive control 

      Caiza Chicaiza, Luis Alberto; Rosich Oliva, Albert; Ocampo-Martínez, Carlos; Benitez, Diego (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Text en actes de congrés
      Accés obert
      In this paper, we propose to use Model Predictive Control techniques to reduce the energy consumption in an industrial process by incorporating energy consumption restrictions in the problem formulation. We propose to use ...

    • Sensor placement for fault diagnosis based on structural models: application to a fuel cell stak system 

      Rosich Oliva, Albert (Universitat Politècnica de Catalunya, 2011-06-03)
      Tesi
      Accés obert
      The present work aims to increase the diagnosis systems capabilities by choosing the location of sensors in the process. Therefore, appropriate sensor location will lead to better diagnosis performance and implementation ...

    • Sensor placement for fault diagnosis performance maximization in distribution networks 

      Sarrate Estruch, Ramon; Nejjari Akhi-Elarab, Fatiha; Rosich Oliva, Albert (2012)
      Text en actes de congrés
      Accés restringit per acord de confidencialitat
      The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a strategy based on diagnosability maximization for optimally locating sensors in distribution ...

    • Sensor placement for fault diagnosis performance maximization under budgetary constraints 

      Sarrate Estruch, Ramon; Nejjari Akhi-Elarab, Fatiha; Rosich Oliva, Albert (2012)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a strategy based on diagnosability maximization for optimally locating sensors in distribution networks. ...