Application of discrete wavelet transform in a combustion chamber to turbulence measurement with LDV removing; Noise in measurement data using wavelet shrinkage

Zhong Zhang, Eiji Tomita

Research output: Contribution to journalArticle

Abstract

In this study, the influence of the measurement noise in LDV measurements were considered, and how to remove the noise using Complex Discrete Wavelet Transform (CDWT) was proposed. Then turbulent velocity in the combustion chamber measured with an LDV was analyzed. The major results can be summarized as follows : 1) The influence of the noise in the turbulent velocity becomes large as frequency increases. Therefore, a setup of cutoft frequency is difficult when removing the noise with a lowpass filter. 2) In this case, it is effective to remove the noise using the CDWT because of improvement of translation invariance.

Original languageEnglish
Pages (from-to)2914-2921
Number of pages8
JournalNippon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B
Volume70
Issue number699
Publication statusPublished - Nov 2004
Externally publishedYes

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Discrete wavelet transforms
combustion chambers
Combustion chambers
shrinkage
wavelet analysis
Turbulence
turbulence
Invariance
noise measurement
invariance
filters

Keywords

  • Discrete Wavelet Transform
  • Ldv Measurements
  • Noise
  • Turbulent Velocity

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

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abstract = "In this study, the influence of the measurement noise in LDV measurements were considered, and how to remove the noise using Complex Discrete Wavelet Transform (CDWT) was proposed. Then turbulent velocity in the combustion chamber measured with an LDV was analyzed. The major results can be summarized as follows : 1) The influence of the noise in the turbulent velocity becomes large as frequency increases. Therefore, a setup of cutoft frequency is difficult when removing the noise with a lowpass filter. 2) In this case, it is effective to remove the noise using the CDWT because of improvement of translation invariance.",
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T1 - Application of discrete wavelet transform in a combustion chamber to turbulence measurement with LDV removing; Noise in measurement data using wavelet shrinkage

AU - Zhang, Zhong

AU - Tomita, Eiji

PY - 2004/11

Y1 - 2004/11

N2 - In this study, the influence of the measurement noise in LDV measurements were considered, and how to remove the noise using Complex Discrete Wavelet Transform (CDWT) was proposed. Then turbulent velocity in the combustion chamber measured with an LDV was analyzed. The major results can be summarized as follows : 1) The influence of the noise in the turbulent velocity becomes large as frequency increases. Therefore, a setup of cutoft frequency is difficult when removing the noise with a lowpass filter. 2) In this case, it is effective to remove the noise using the CDWT because of improvement of translation invariance.

AB - In this study, the influence of the measurement noise in LDV measurements were considered, and how to remove the noise using Complex Discrete Wavelet Transform (CDWT) was proposed. Then turbulent velocity in the combustion chamber measured with an LDV was analyzed. The major results can be summarized as follows : 1) The influence of the noise in the turbulent velocity becomes large as frequency increases. Therefore, a setup of cutoft frequency is difficult when removing the noise with a lowpass filter. 2) In this case, it is effective to remove the noise using the CDWT because of improvement of translation invariance.

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KW - Ldv Measurements

KW - Noise

KW - Turbulent Velocity

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