CAJ | 학술논문

在烷烃类多组分混合气体，尤其轻烷烃类气体傅里叶变换红外光谱定量分析中，其中在红外光谱区域吸收峰严重交叉重叠，不易建立定量分析模型。为此，采用 Tikhonov正则化算法对甲烷、乙烷、丙烷、异丁烷、正丁烷、异戊烷和正戊烷等七种轻烷烃类混合气体傅里叶变换红外光谱进行特征波长的选择，以便建立定量分析模型。选择六种各气体浓度组成混合烷烃气体，采用 Tikhonov正则化算法，通过对比分析混合气体在中红外全波段、主吸收峰和次吸收峰波段特征波长的选择和TR参数的优化，选择出七种气体成分的傅里叶变换红外光谱的特征波长。利用选择的特征波长和Tikhonov正则化参数对实测甲烷光谱数据进行检验分析，与其他气体成分的交叉灵敏度最大为11.1537％，最小为1.2397％，预测均方根误差为0.0048，有效增强了Tikhonov正则化算法在轻烷烃类混合气体定量分析中的实用性，初步验证了利用 Tikhonov正则化进行烷烃类混合气体傅里叶变换红外光谱特征波长选择的可行性。
재완경류다조분혼합기체，우기경완경류기체부리협변환홍외광보정량분석중，기중재홍외광보구역흡수봉엄중교차중첩，불역건립정량분석모형。위차，채용 Tikhonov정칙화산법대갑완、을완、병완、이정완、정정완、이무완화정무완등칠충경완경류혼합기체부리협변환홍외광보진행특정파장적선택，이편건립정량분석모형。선택륙충각기체농도조성혼합완경기체，채용 Tikhonov정칙화산법，통과대비분석혼합기체재중홍외전파단、주흡수봉화차흡수봉파단특정파장적선택화TR삼수적우화，선택출칠충기체성분적부리협변환홍외광보적특정파장。이용선택적특정파장화Tikhonov정칙화삼수대실측갑완광보수거진행검험분석，여기타기체성분적교차령민도최대위11.1537％，최소위1.2397％，예측균방근오차위0.0048，유효증강료Tikhonov정칙화산법재경완경류혼합기체정량분석중적실용성，초보험증료이용 Tikhonov정칙화진행완경류혼합기체부리협변환홍외광보특정파장선택적가행성。
In the multicomponent mixture hydrocarbon gases Fourier transform infrared (FTIR) quantitative analysis ,especially for light alkane gases ,it is not easy to establish the quantitative analysis model because their IR spectra absorption peaks are se-riously overlapped .Aiming at this problem ,the Tikhonov regularization algorithm was used to select the characteristic wave-lengths for seven kinds of light alkane mixture gases FTIR which are composed with methane ,ethane ,propane ,iso-butane , n-butane ,iso-pentane and n-pentane .And then the wavelength selection was used to establish the quantitative analysis model . By comparing the analysis characteristics wavelength selection and TR parameters optimization of the mixed gases in the infrared all wave band ,the first absorption peak band and the second peak band ,the characteristic wavelength of 7 kinds of gases were selected by Tikhonov algorithm .The wavelength selection and Tikhonov regularization parameters were used to test the actual measured methane spectral data ,and then we got that with other gas components the max cross sensitivity was 11.153 7% ,the minimum cross sensitivity was 1.239 7% ,and the root mean square prediction error was 0.004 8 .The Tikhonov regularization algo-rithm effectively enhanced the accuracy in the light alkane mixed gas quantitative analysis .The feasibility of alkane gases mixture Fourier transform infrared spectrum wavelength selection was preliminarily verified by using the Tikhonov regularization algorithm .