Journal of Infrared and Millimeter Waves, Volume. 39, Issue 3, 311(2020)

Inversion of oxygen residual concentration in vials based on near-infrared absorption spectroscopy

Shuai SHEN, Jian-Jun HE*, and Qi-Wu LUO
Author Affiliations
  • School of automation, central south university ,Changsha40083, China
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    Figures & Tables(12)
    The process of gas concentration measurement
    The second harmonic and the feature points after Principal Component Analysis
    The contribution rate of Main feature
    The flow chart of BP neural network Optimized by genetic algorithm
    Neural network model structure
    (a)The hardware platform structure of residual oxygen detection system,(b)Overall equipment
    Prediction by least squares normal fitting
    Prediction by PCA-BP neural network
    Prediction by PCA-GA-BP neural network
    Results for different concentrations of oxygen
    Running time picture
    • Table 1. 三种模型预测精度对比

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      Table 1. 三种模型预测精度对比

      拟合方法平均相对误差E决定系数R2
      最小二乘0.08320.910
      PCA-BP0.03800.962
      PCA-GA-BP0.01120.989
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    Shuai SHEN, Jian-Jun HE, Qi-Wu LUO. Inversion of oxygen residual concentration in vials based on near-infrared absorption spectroscopy[J]. Journal of Infrared and Millimeter Waves, 2020, 39(3): 311

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    Paper Information

    Category: Infrared Spectroscopy and Spectral Analysis

    Received: Nov. 12, 2019

    Accepted: --

    Published Online: Jul. 7, 2020

    The Author Email: Jian-Jun HE (jjhe@csu.edu.cn)

    DOI:10.11972/j.issn.1001-9014.2020.03.008

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