• DocumentCode
    1717300
  • Title

    A qualitative approach to single fault isolation in switching systems

  • Author

    Mekki, Taher ; Triki, Slim ; Kamoun, Anas

  • Author_Institution
    Renewable Energies & Electr. Vehicles, Nat. Sch. of Eng. of Sfax (ENIS), Sfax, Tunisia
  • fYear
    2013
  • Firstpage
    220
  • Lastpage
    224
  • Abstract
    Hybrid Bond Graph (HBG) is a bond graph-based modeling approach which provides an effective tool not only for dynamic modeling but also for fault detection and isolation (FDI) of switching systems. Efficient algorithms exist for fault detection and isolation based on functional redundancy. In a qualitative approach, this redundancy can be captured by a temporal causal graph (TCG), a directed graph that may include temporal information. To avoid the combinatorial explosion when using a bank of TCGs in parallel, causal paths are parameterized by the state of local switches. This paper presents a qualitative approach to diagnose a hybrid system. As an example we use a coupled three tank system with autonomous hybrid behaviors, and illustrate this through a simulation.
  • Keywords
    bond graphs; directed graphs; fault diagnosis; redundancy; time-varying systems; FDI; HBG; TCG; autonomous hybrid behaviors; causal paths; coupled three tank system; directed graph; fault detection and isolation; functional redundancy; hybrid bond graph; hybrid system diagnosis; local switch state; single fault isolation; switching systems; temporal causal graph; Algorithm design and analysis; Computational modeling; Computers; Conferences; Educational institutions; Equations; Mathematical model; Hybrid Bond Graph; parametrized causality; temporal causal graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2013 14th International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4799-2953-5
  • Type

    conf

  • DOI
    10.1109/STA.2013.6783134
  • Filename
    6783134