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
  • show less
    References(10)

    [4] K Diepold, A Stadler, T Windisch. Fire Safety Journal, 66, 1(2014).

    [5] S Golgiyaz, C Onat, F Talu M. Fuel, 255, 115827(2019).

    [7] Q Luo, T Tang T, J Yin Z et al. Advances in Engineering Research, 116, 341(2016).

    [8] W Fan, Y Li G, Y Shan et al. Food Analytical Methods, 5, 585(2012).

    [9] L Cheng, C Li, L Zhao T et al. Food Chemistry, 221, 990(2017).

    [10] R Chen Y, L Shao Y, Q Zhao et al. Optik, 126, 4539(2015).

    [12] P Chen X, C Li, N Tang R. Applied Spectroscopy, 72, 740(2018).

    [13] Lauren J O’Donnel, F Zhang. Support Vector Regression, 123(2020).

    [14] S Shin H, W Tang B, X Zhu Z et al. Information Sciences, 420, 364(2017).

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    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

    Topics