A study of fractal analysis of the unsteady signal using wavelet transform

Zhong Zhang, Kengo Ishibashi, Hiroaki Kawabata, Eiji Tomita

Research output: Contribution to journalArticle

Abstract

In this study, we proposed a new method to calculate the fractal dimension by using a wavelet transform which is a time-frequency analysis method and try to evaluate the change of the similar structure in an unsteady signal. The procedure of our method is: 1) carrying out wavelet transform of the unsteady signal and obtaining the information about both time and frequency. 2) calculating the fractal dimension at each time from the wavelet transform of the unsteady signal. 3) evaluating change of the similar structure in the unsteady signal by using the fractal dimension obtained. Then the unsteady turbulence, such as jet flow and tumble flow in an engine were analyzed by using our approach. As a result, the change of the eddy structure can be shown very well.

Original languageEnglish
Pages (from-to)204-211
Number of pages8
JournalNippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume68
Issue number1
Publication statusPublished - Jan 1 2002

Keywords

  • Fractal Analysis
  • Signal Analysis
  • Similar Structure
  • Unsteady Turbulence
  • Wavelet Transform

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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