首页|Support vector regression-based study of interference in absorption spectral lines of mixed gases
Support vector regression-based study of interference in absorption spectral lines of mixed gases
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When measuring the concentration of multi-component gas mixtures based on supercontinuum laser absorption spec-troscopy(SCLAS),there are interferences between the absorption spectral lines.For the spectral interference problem of CO2 and CH4 at 1 432 nm,a method based on support vector regression(SVR)is proposed in this paper.The SVR model,the k-nearest neighbor(KNN)model and the least squares(LS)model are used to analyze and predict the ab-sorption spectral data,and the prediction accuracies were 96.29％,88.89％and 85.19％,respectively,with the highest prediction accuracy of the SVR model.The results show that the method can accurately measure the concentration of gas mixtures,realize the detection of mixed gases using a single waveband,and provide a solution to the overlapping spectral line interference of multi-component gas mixtures.
YAN Xiangyu、LI Honglian、WANG Yitong、FANG Lide、ZHANG Rongxiang
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School of Quality and Technical Supervision,Hebei University,Baoding 071002,China
National&Local Joint Engineering Research Center of Metrology Instrument and System,Baoding 071002,China
Hebei Key Laboratory of Energy Metering and Safety Testing Technology,Hebei University,Baoding 071002,China
College of Physics Science and Technology,Hebei University,Baoding 071002,China
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国家自然科学基金河北省自然科学基金重点项目Funding Project for Introducing Overseas Students in Hebei Province
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