### 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

*Nippon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B*,

*64*(618), 621-628.

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

Research output: Contribution to journal › Article

*Nippon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B*, vol. 64, no. 618, pp. 621-628.

}

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 -