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 | Nippon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B |
| Volume | 64 |
| Issue number | 618 |
| Publication status | Published - Feb 1998 |
| Externally published | Yes |
Fingerprint
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 journal › Article
}
TY - JOUR
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
UR - http://www.scopus.com/inward/record.url?scp=0008474425&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0008474425&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0008474425
VL - 64
SP - 621
EP - 628
JO - Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B
JF - Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B
SN - 0387-5016
IS - 618
ER -