User: Guest  Login
Title:

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

Document type:
Zeitschriftenaufsatz
Author(s):
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...     »
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:
doi:10.3390/s20164634
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
 BibTeX