Unsteady turbulence analysis by using wavelet transform

Zhong Zhang, Yoshisuke Hamamoto, Hiroaki Kawabata, Eiji Tomita

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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
JournalNihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B
Issue number618
Publication statusPublished - Feb 1998
Externally publishedYes


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

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanical Engineering


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