Unsteady turbulence analysis by using wavelet transform

Zhong Zhang; Yoshisuke Hamamoto; Hiroaki Kawabata; Eiji Tomita

doi:10.1299/kikaib.64.621

Unsteady turbulence analysis by using wavelet transform

Zhong Zhang, Yoshisuke Hamamoto, Hiroaki Kawabata, Eiji Tomita

Graduate School of Natural Science and Technology

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Wavelet transform, which is a well-known and remarkable way of processing the unsteady signal, is considered to surpasses the Fourier analysis, and is applied in various fields. In this study, we examined about the separation of the turbulence and mean flow and the characteristic of turbulence by using wavelet transform. The turbulence is defined as highter-frequency components in the turbulence flow. The some turbulent characteristics could be observed by the wavelet analysis, but can not be seen when using a Fourier analysis. Because wavelet analysis is the method of timefrequency analysis and Fourier analysis is the method of frequency analysis. And we confirmed that the wavelet analysis will be useful for the turbulence analysis.

Original language	English
Pages (from-to)	621-628
Number of pages	8
Journal	Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B
Volume	64
Issue number	618
DOIs	https://doi.org/10.1299/kikaib.64.621
Publication status	Published - Feb 1998

Keywords

Data analysis
Internal combustion engine
Jet
Turbulence
Turbulent flow
Wavelet transform

ASJC Scopus subject areas

Condensed Matter Physics
Mechanical Engineering

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title = "Unsteady turbulence analysis by using wavelet transform",

abstract = "Wavelet transform, which is a well-known and remarkable way of processing the unsteady signal, is considered to surpasses the Fourier analysis, and is applied in various fields. In this study, we examined about the separation of the turbulence and mean flow and the characteristic of turbulence by using wavelet transform. The turbulence is defined as highter-frequency components in the turbulence flow. The some turbulent characteristics could be observed by the wavelet analysis, but can not be seen when using a Fourier analysis. Because wavelet analysis is the method of timefrequency analysis and Fourier analysis is the method of frequency analysis. And we confirmed that the wavelet analysis will be useful for the turbulence analysis.",

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T1 - Unsteady turbulence analysis by using wavelet transform

AU - Zhang, Zhong

AU - Hamamoto, Yoshisuke

AU - Kawabata, Hiroaki

AU - Tomita, Eiji

PY - 1998/2

Y1 - 1998/2

N2 - Wavelet transform, which is a well-known and remarkable way of processing the unsteady signal, is considered to surpasses the Fourier analysis, and is applied in various fields. In this study, we examined about the separation of the turbulence and mean flow and the characteristic of turbulence by using wavelet transform. The turbulence is defined as highter-frequency components in the turbulence flow. The some turbulent characteristics could be observed by the wavelet analysis, but can not be seen when using a Fourier analysis. Because wavelet analysis is the method of timefrequency analysis and Fourier analysis is the method of frequency analysis. And we confirmed that the wavelet analysis will be useful for the turbulence analysis.

AB - Wavelet transform, which is a well-known and remarkable way of processing the unsteady signal, is considered to surpasses the Fourier analysis, and is applied in various fields. In this study, we examined about the separation of the turbulence and mean flow and the characteristic of turbulence by using wavelet transform. The turbulence is defined as highter-frequency components in the turbulence flow. The some turbulent characteristics could be observed by the wavelet analysis, but can not be seen when using a Fourier analysis. Because wavelet analysis is the method of timefrequency analysis and Fourier analysis is the method of frequency analysis. And we confirmed that the wavelet analysis will be useful for the turbulence analysis.

KW - Data analysis

KW - Internal combustion engine

KW - Jet

KW - Turbulence

KW - Turbulent flow

KW - Wavelet transform

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Unsteady turbulence analysis by using wavelet transform

Abstract

Keywords

ASJC Scopus subject areas

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