Spectroscopy and Spectral Analysis, Volume. 41, Issue 8, 2332(2021)

End-Point Prediction of BOF Steelmaking Based on Flame Spectral Feature Selection Using WCARS-ISPA

Wen-qiong ZHU*, Mu-chun ZHOU*;, Qi ZHAO, and Jun LIAO
Author Affiliations
  • School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
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    Figures & Tables(8)
    Furnace mouth flame spectrum data sets
    Flowchart of WCARS
    Variation of RMSE with the number of windows
    Rough selection result of WCARS
    Variation of RMSE with the number of selected variables(a): ISPA; (b): SPA
    Selection result of characteristic wavelengths with WCARS-ISPA
    Training results of the WCARS-ISPA model
    • Table 1. Prediction results of different models

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      Table 1. Prediction results of different models

      模型特征
      波长数
      平均
      误差/%
      命中率
      /%
      运行
      时间/s
      WCRAS-ISPA101.413 290.630.019 679
      全光谱3 6483.369 177.130.822 247
      WCARS4342.135 082.370.103 025
      SPA101.881 584.020.017 702
      CARS-SPA81.820 986.770.017 809
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    Wen-qiong ZHU, Mu-chun ZHOU, Qi ZHAO, Jun LIAO. End-Point Prediction of BOF Steelmaking Based on Flame Spectral Feature Selection Using WCARS-ISPA[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2332

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    Paper Information

    Category: Research Articles

    Received: Aug. 15, 2020

    Accepted: --

    Published Online: Sep. 8, 2021

    The Author Email: ZHU Wen-qiong (51zyxshh@163.com)

    DOI:10.3964/j.issn.1000-0593(2021)08-2332-05

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