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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    Title :

    Unobservable fuzzy Petri net diagnosis technique


    Contributors:
    An, Ruoming (author) / Liang, Wei (author)

    Published in:

    Publication date :

    2013-05-03


    Size :

    7 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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