• DocumentCode
    2616968
  • Title

    Knowledge-based system for aircraft electrical power system reconfiguration

  • Author

    Giraud, Xavier ; Piquet, Hubert ; Budinger, Marc ; Roboam, Xavier ; Sartor, Marc ; Vial, Sébastien

  • Author_Institution
    Airbus Oper. SAS, France
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Aircraft electrical power system (EPS), in charge of supplying power to aircraft electric systems, needs a reconfiguration capability in order to overcome cases of EPS component failures. During the design phase, EPS reconfiguration elicitation is a complex task due to the high number of failure combinations and to the aeronautical operational constraints, which are to be taken into account. Therefore a knowledge-based system is developed in order to help designers for such a task. It is based on the implementation of two different types of rules: mandatory and know-how rules. EPS connectivity is managed by graph-theory algorithms. The knowledge-based system is capable of producing several reconfiguration solutions. The knowledge-based system functioning is illustrated in detail on a simplified EPS. Results on an actual and modern EPS are also presented.
  • Keywords
    aircraft power systems; failure analysis; graph theory; knowledge based systems; power engineering computing; EPS component failures; EPS connectivity; EPS reconfiguration elicitation; aeronautical operational constraints; aircraft electrical power system reconfiguration; failure combinations; graph-theory; know-how rules; knowledge-based system; mandatory rules; power supply; Aircraft; Business; Cognition; Contacts; Databases; Generators; Knowledge based systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Systems for Aircraft, Railway and Ship Propulsion (ESARS), 2012
  • Conference_Location
    Bologna
  • ISSN
    2165-9400
  • Print_ISBN
    978-1-4673-1370-4
  • Electronic_ISBN
    2165-9400
  • Type

    conf

  • DOI
    10.1109/ESARS.2012.6387377
  • Filename
    6387377