The purpose of civil aircraft maintenance department is to ensure the airworthiness and safety of civil aircraft to perform various flight tasks, but the investigation of various mechanical or electronic failures of aircraft greatly limits the development of maintenance department. In recent years, civil aircraft accidents have occurred one after another, resulting in casualties and huge losses of property. A large part of the reasons for the accidents are attributed to the failure of civil aircraft. As a typical comprehensive and complex system, the complexity of its structure and working principle leads to the complexity of its fault symptoms and the relationship between faults and fault sources. In this paper, big data technology is applied to the airworthiness review model of civil aircraft to realize intelligent diagnosis of civil aircraft state. The simulation results show that the proposed civil aircraft fault location algorithm has strong information fusion performance and has significant advantages over the traditional Genetic Algorithm (GA) in terms of false alarm rate and false alarm rate. Therefore, the model can be effectively combined to analyze the aircraft state and failure reasons in the airworthiness review of civil aircraft, and the quality management and safety management strategies of civil aircraft maintenance can be put forward according to the actual situation.


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    Titel :

    Simulation of airworthiness examination model of civil aircraft based on big data


    Beteiligte:
    Qu, Xilong (Herausgeber:in) / Ge, Wei (Autor:in) / Peng, Lei (Autor:in)

    Kongress:

    Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023) ; 2023 ; Xiamen, China


    Erschienen in:

    Proc. SPIE ; 12922


    Erscheinungsdatum :

    2023-10-26





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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