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Developments of a Cross-Correlation Calculation Algorithm for Gas Temperature Distributions Based on TDLAS
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 Title & Authors
Developments of a Cross-Correlation Calculation Algorithm for Gas Temperature Distributions Based on TDLAS
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Most of reconstruction algorithms for the calculation of temperature distributions in CT (computed tomography)-TDLAS (tunable diode laser absorption spectroscopy) are based upon two-line thermometry method. This method gives unstable calculation convergence due to signal noise, bias error, and signal mis-matches. In this study, a new reconstruction algorithm based on cross-correlation for temperature calculation is proposed. The patterns of the optical signals at all wave lengths were used to reconstruct the temperature distribution. Numerical test has been made using phantom temperature distributions. Using these phantom temperature data, absorption spectra for all wave lengths were constructed, and these spectra were regarded as the signals that would be obtained in an actual experiments. Using these virtually generated experimental signals, temperature distribution was once again reconstructed, and was compared with those of the original phantom data. Calculation errors obtained by the newly proposed algorithm were slightly large at high temperatures with small errors at low temperature.
CT;TDLAS;Cross-Correlation;Numerical Test;Phantom Temperature;
 Cited by
CT-레이저흡수분광법(TDLAS) 성능향상을 위한 레이저 선폭확장 함수 최적 계수 선정에 관한 연구,최두원;조경래;;백태실;도덕희;

한국수소및신에너지학회논문집, 2016. vol.27. 6, pp.773-782 crossref(new window)
컴퓨터토모그래피 레이저흡수분광법(CT-TDLAS) 기반 2차원 온도분포 산정 Two-Ratios-of-Three-Peaks (2R3P) 알고리듬 개발,최두원;조경래;심준환;;김동혁;도덕희;

한국수소및신에너지학회논문집, 2016. vol.27. 3, pp.318-327 crossref(new window)
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