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Titel:

Modeling of Stochastic Wind Based on Operational Flight Data Using Karhunen–Loève Expansion Method

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Wang, Xiaolong; Beller, Lukas; Czado, Claudia; Holzapfel, Florian
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:
doi:10.3390/s20164634
Verlag / Institution:
MDPI AG
E-ISSN:
1424-8220
Publikationsdatum:
18.08.2020
Semester:
SS 20
TUM Einrichtung:
Professur für Angewandte Mathematische Statistik
Format:
Text
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