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.
Flight Risk Quantitative Assessment Based on Extreme Values of Flight Parameters
The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018) ; 4 ; 2169-2177
Lecture Notes in Electrical Engineering ; 459 , 4
2019-01-01
9 pages
Article/Chapter (Book)
Electronic Resource
English
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