Application of wavestrapping statistical technique to estimate an extreme value in train aerodynamics

Antonio R. Andrade; Terry Johnson; Julian Stow

doi:10.1016/j.jweia.2018.02.009

Application of wavestrapping statistical technique to estimate an extreme value in train aerodynamics

Antonio R. Andrade, Terry Johnson, Julian Stow

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2 Citations (Scopus)

Abstract

This paper explores the application of a statistical analysis technique known as ‘wavestrapping’ to a railway data analysis problem in train aerodynamics. This simulation technique is used to reproduce/reconstruct signals with the same statistical properties of the initial signal(s) and to estimate an extreme value in train aerodynamics. This technique is compared with the method currently used in practice to estimate the peak value of slipstream air speed, according to the European standard EN 14067.

Original language	English
Pages (from-to)	419-427
Number of pages	9
Journal	Journal of Wind Engineering and Industrial Aerodynamics
Volume	175
Early online date	16 Mar 2018
DOIs	https://doi.org/10.1016/j.jweia.2018.02.009
Publication status	Published - 1 Apr 2018

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title = "Application of wavestrapping statistical technique to estimate an extreme value in train aerodynamics",

abstract = "This paper explores the application of a statistical analysis technique known as {\textquoteleft}wavestrapping{\textquoteright} to a railway data analysis problem in train aerodynamics. This simulation technique is used to reproduce/reconstruct signals with the same statistical properties of the initial signal(s) and to estimate an extreme value in train aerodynamics. This technique is compared with the method currently used in practice to estimate the peak value of slipstream air speed, according to the European standard EN 14067.",

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N2 - This paper explores the application of a statistical analysis technique known as ‘wavestrapping’ to a railway data analysis problem in train aerodynamics. This simulation technique is used to reproduce/reconstruct signals with the same statistical properties of the initial signal(s) and to estimate an extreme value in train aerodynamics. This technique is compared with the method currently used in practice to estimate the peak value of slipstream air speed, according to the European standard EN 14067.

AB - This paper explores the application of a statistical analysis technique known as ‘wavestrapping’ to a railway data analysis problem in train aerodynamics. This simulation technique is used to reproduce/reconstruct signals with the same statistical properties of the initial signal(s) and to estimate an extreme value in train aerodynamics. This technique is compared with the method currently used in practice to estimate the peak value of slipstream air speed, according to the European standard EN 14067.

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KW - Railway aerodynamics

KW - Simulation

KW - Wavelet Analysis

KW - Wavestrapping

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JO - Journal of Industrial Aerodynamics

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SN - 0167-6105

ER -

Application of wavestrapping statistical technique to estimate an extreme value in train aerodynamics

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