Zonal Safety Analysis (ZSA) is an important task in the safety assessment of large civil aircraft. It is a compliance check that considers system or equipment installation, maintenance errors, external environmental changes, design and installation criterion, system operation, etc. Relying on manual examination is inefficient, and it is difficult to ensure the accuracy and integrity of ZSA. This paper proposes an intelligent detection method based on a three-layer data architecture and develops algorithms and a relevant platform for application to significantly improve the efficiency, accuracy and integrity of ZSA and ensure the safety of aircraft.


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    Titel :

    Intelligent Detection Method of Zonal Safety Analysis for Large Civil Aircraft


    Beteiligte:
    Liang, Lei (Autor:in) / Kang, Wenwen (Autor:in) / Liu, Ying (Autor:in)

    Kongress:

    MEMAT 2022 - 2nd International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology ; 2022 ; Guilin, China


    Erschienen in:

    Erscheinungsdatum :

    01.01.2022


    Format / Umfang :

    4 pages



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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