Baseline reduction algorithm for direct absorption spectroscopy with interference features

Z Wang, P Fu, X Chao - Measurement Science and Technology, 2019 - iopscience.iop.org
Measurement Science and Technology, 2019iopscience.iop.org
A baseline reduction algorithm for determining gas temperature and concentration from
absorption spectra with interfering features using direct absorption spectroscopy is
proposed. Empirical baselines are obtained through non-absorbing baseline transform, and
background subtraction is done by reducing the first three components of the orthogonal
polynomial expansion of the measured spectra. The algorithm is first validated by numerical
simulation using the absorption lines of CO (R (9) and R (17)) located between 2179 and …
Abstract
A baseline reduction algorithm for determining gas temperature and concentration from absorption spectra with interfering features using direct absorption spectroscopy is proposed. Empirical baselines are obtained through non-absorbing baseline transform, and background subtraction is done by reducing the first three components of the orthogonal polynomial expansion of the measured spectra. The algorithm is first validated by numerical simulation using the absorption lines of CO (R (9) and R (17)) located between 2179 and 2180 cm− 1, which provides a correct estimation of temperature and CO concentration. Then the method is demonstrated in premixed CH 4/air flat flame. The temperature is determined with a precision of 20 K, and the detection limit for CO is 400 ppm at 1835 K with 4.70% CO and 4.70% CO 2 interference. Both the simulation and experimental results show that the algorithm is well suited for interpreting absorption spectra with neighbouring interference features as are often encountered in practical combustion environments.
iopscience.iop.org
以上显示的是最相近的搜索结果。 查看全部搜索结果