The complexity of modern aircraft systems makes the causes of aircraft faults complex and diverse, resulting in difficulty in fault location. This paper elaborates the related research of fault diagnosis for the aircraft system and labors intelligent methods of fault diagnosis. In the fault diagnosis test based on the actual fault data reported by a certain type of aircraft, the fault location accuracy of the fusion method is generally better than that of the single method, and fusion diagnosis method based on rough set theory and BP network is the best. Obviously, it is an inevitable trend that different diagnosis methods are effectively fused to locate automatically the fault of aircraft system.


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    Title :

    Fault diagnosis for the aircraft system


    Contributors:
    Wei, Yonghe (editor) / Liu, Fengli (editor) / Chu, Tao (author) / Yin, Chunxia (author)

    Conference:

    International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023) ; 2023 ; Shenyang, China


    Published in:

    Proc. SPIE ; 13071


    Publication date :

    2024-02-28





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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