The purpose of this paper is to resolve the problem of complex system diagnosis with unobservable events such as Hall thruster.

    Design/methodology/approach

    Fault class is defined by unobservable transitions subset. Every fault class is departed into four levels of alarm. The level of alarm for a fault class is identified by constructing basis reachability graph and computing j vector and basis marking. Certain factor values of diagnosis results are given by introducing two fuzzy operators. A two-directional reasoning strategy is adopted which are forward reasoning and backward reasoning.

    Findings

    Using basis reachability graph and notions of basis marking and j vector, fuzzy Petri net with unobservable transitions can resolve the diagnosis problems with high accuracy and efficiency.

    Research limitations/implications

    The relationship between unobservable events must be known.

    Practical implications

    The method shows its superiority when it is applied to unobservable systems such as spacecraft.

    Originality/value

    A novel fuzzy Petri net framework for unobservable system multi-fault diagnosis is put forward which introduces some new ideas.


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    Titel :

    Unobservable fuzzy Petri net diagnosis technique


    Beteiligte:
    An, Ruoming (Autor:in) / Liang, Wei (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    03.05.2013


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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