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.

Highlights

  • Nowadays the vehicle exhaust emissions have become one of the most important factors that affect the environmental air quality in our country

  • It becomes a key technology to measure the concentration of the vehicle exhaust components with the absorption spectra

  • 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)

Read more

Summary

Introduction

Nowadays the vehicle exhaust emissions have become one of the most important factors that affect the environmental air quality in our country. It is urgent to strengthen the monitoring of vehicle exhaust emissions [1]. 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 [2] [3]. In this paper, based on the measured ultraviolet absorption spectra of exhaust gas NO & NO2, the concentration regression models for the two components has been established with weighted partial least squares regression (WPLS). The each spectral characteristic information of NO & NO2 gas has been separated and the concentration of each corresponding component has been reversed successfully

Weighted Partial Least Squares Regression
Experiments and Result Analysis
Findings
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.