Abstract Combining the extreme value theory and the multi-factor coupling system modelling, and considering the randomness of icing and pilot operation, the pilot-aircraft-environment simulation system was built. Monte Carlo simulation experiments were used to extract the extreme values of flight risk key parameters. The thick-tail characteristics of the parameter extreme and the generalized extreme value (GEV) distribution law were verified. The flight risk criterion was defined and the flight risk probability was calculated. This method can provide theoretical support for the prediction and prevention of flight accidents.


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    Titel :

    Flight Risk Quantitative Assessment Based on Extreme Values of Flight Parameters


    Beteiligte:
    Li, Zhe (Autor:in) / Xu, Haojun (Autor:in) / Xue, Yuan (Autor:in) / Wei, Yang (Autor:in) / Duan, Xiaocong (Autor:in)


    Erscheinungsdatum :

    01.01.2019


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Flight Risk Quantitative Assessment Based on Extreme Values of Flight Parameters

    Li, Zhe / Xu, Haojun / Xue, Yuan et al. | British Library Conference Proceedings | 2019


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