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Document type:
Zeitschriftenaufsatz 
Author(s):
Wang, Xiaolong; Beller, Lukas; Czado, Claudia; Holzapfel, Florian 
Title:
Modeling of Stochastic Wind Based on Operational Flight Data Using Karhunen–Loève Expansion Method 
Abstract:
Wind has a significant influence on the operational flight safety. To quantify the influence of the wind characteristics, a wind series generator is required in simulations. This paper presents a method to model the stochastic wind based on operational flight data using the Karhunen–Loève expansion. The proposed wind model allows us to generate new realizations of wind series, which follow the original statistical characteristics. To improve the accuracy of this wind model, a vine copula is used...    »
 
Keywords:
wind model; operational flight data; stochastic process; Karhunen–Loève Expansion; vine copula; spectral representation 
Dewey Decimal Classification:
510 Mathematik 
Journal title:
Sensors 
Year:
2020 
Journal volume:
20 
Year / month:
2020-08 
Quarter:
3. Quartal 
Month:
Aug 
Journal issue:
16 
Pages contribution:
4634 
Language:
en 
Fulltext / DOI:
Publisher:
MDPI AG 
E-ISSN:
1424-8220 
Date of publication:
18.08.2020 
Semester:
SS 20 
TUM Institution:
Professur für Angewandte Mathematische Statistik 
Format:
Text