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Yu, X.Y., Zhang, Y.J., Yin, F.G., Zhao, N.J., Duan, J.B., Xiao, X., Shi, Z.Y. and Fang, L. (2014) The Algae Fluorescence Spectrum Characteristic Wavelength of Partial Least Squares Regression Selection Based on. Journal of Optics, No. 9, 302-307.

has been cited by the following article:

• TITLE: Study on the Concentration Inversion of NO & NO2 Gas from the Vehicle Exhaust Based on Weighted PLS

  AUTHORS: Kai Zhang, Yujun Zhang, Kun You, Yibing Lu, Qixing Tang, Ying He, Guohua Liu, Boqiang Fan, Dongqi Yu, Wenqing Liu

  KEYWORDS: Absorption Spectra, NO & NO2 Gas, Weighted Partial Least Squares Regression, Concentration Inversion

  JOURNAL NAME: Optics and Photonics Journal, Vol.7 No.8B, August 10, 2017

  ABSTRACT: It becomes a key technology to measure the concentration of the vehicle exhaust components with the absorption spectra. But because of the overlap of gas absorption bands, how to separate the absorption information of each component gas from the mixed absorption spectra has become the key point to restrict the precision of the optical detection method. In this paper, the ex-perimental platform for the absorption spectrum of vehicle exhaust components has been established. Based on the ultraviolet absorption spectra measured with the platform of exhaust gas NO & NO2, the concentration regression model for the two components has been established with weighted partial least squares regression (WPLS). Finally the each spectral characteristic information of NO & NO2 gas has been separated and the concentration of each corresponding component has been reversed successfully.