Unsteady turbulence analysis by using wavelet transform

Zhong Zhang, Yoshisuke Hamamoto, Hiroaki Kawabata, Eiji Tomita

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)621-628
Number of pages8
JournalNippon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B
Volume64
Issue number618
Publication statusPublished - Feb 1998
Externally publishedYes

Fingerprint

wavelet analysis
Wavelet transforms
Turbulence
turbulence
Fourier analysis
Wavelet analysis
flow characteristics
Processing

Keywords

  • Data analysis
  • Internal combustion engine
  • Jet
  • Turbulence
  • Turbulent flow
  • Wavelet transform

ASJC Scopus subject areas

  • Mechanical Engineering
  • Condensed Matter Physics

Cite this

Unsteady turbulence analysis by using wavelet transform. / Zhang, Zhong; Hamamoto, Yoshisuke; Kawabata, Hiroaki; Tomita, Eiji.

In: Nippon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B, Vol. 64, No. 618, 02.1998, p. 621-628.

Research output: Contribution to journalArticle

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