For purpose of solve the problems of failure of multi-source and complex diagnostic decision in the process of Aircraft Integrated Drive Generator fault diagnosing, from the perspective of data mining, reference the variable precision rough sets to dispose the diagnostic information system, deduce judgment theorems for judging β lower approximation consistent sets by the binary relation and dependence space which defined by a set of objects, put forward the Aircraft Integrated Drive Generator fault diagnostic decision based on β lower approximation attribute reduction algorithm, which by decision system obtained from real generator output fault signal, to demonstrate its effectiveness and universality in case of small samples.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Research of Aircraft Integrated Drive Generator fault diagnostic decision based on attribute reduction in rough sets


    Contributors:
    Jing, Tao (author) / Long, Feiqi (author) / Shi, Xudong (author)


    Publication date :

    2016-10-01


    Size :

    308861 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Method for detecting fault experienced by integrated drive generator in aircraft

    BROUQUE MICHEL / BRADIER MICHAEL / BENHAMOU EMILIE | European Patent Office | 2024

    Free access

    Research on an efficient rough Set based attribute reduction algorithm

    Jun Wang, / Xiu-Feng Zhong, / Xi-Yuan Peng, | IEEE | 2010



    A Weighted Fuzzy Rough Sets Model with Hybrid-Attribute Reduction in Granular Computing

    Liu, Y. / Zhou, Q. / Feng, B. | British Library Online Contents | 2011


    AIAA-2002-4997 The Rough Sets Theory in Diagnostic Aircraft Control and Navigation Systems

    Dolega, B. / AIAA | British Library Conference Proceedings | 2002