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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Wang, Xiaolong; Beller, Lukas; Czado, Claudia; Holzapfel, Florian 
Titel:
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...    »
 
Stichworte:
wind model; operational flight data; stochastic process; Karhunen–Loève Expansion; vine copula; spectral representation 
Dewey Dezimalklassifikation:
510 Mathematik 
Zeitschriftentitel:
Sensors 
Jahr:
2020 
Band / Volume:
20 
Jahr / Monat:
2020-08 
Quartal:
3. Quartal 
Monat:
Aug 
Heft / Issue:
16 
Seitenangaben Beitrag:
4634 
Sprache:
en 
Volltext / DOI:
Verlag / Institution:
MDPI AG 
E-ISSN:
1424-8220 
Publikationsdatum:
18.08.2020 
Semester:
SS 20 
TUM Einrichtung:
Professur für Angewandte Mathematische Statistik 
Format:
Text