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A Study of Hybrid Airfoil Design Method Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Flight Risk Quantitative Assessment Based on Extreme Values of Flight Parameters

Authors : Zhe Li, Haojun Xu, Yuan Xue, Yang Wei, Xiaocong Duan

Published in: The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018)

Publisher: Springer Singapore

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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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Metadata
Title
Flight Risk Quantitative Assessment Based on Extreme Values of Flight Parameters
Authors
Zhe Li
Haojun Xu
Yuan Xue
Yang Wei
Xiaocong Duan
Copyright Year
2019
Publisher
Springer Singapore
Book
The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018)

Print ISBN: 978-981-13-3304-0

Electronic ISBN: 978-981-13-3305-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-3305-7_174

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