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Fast characterization of biodiesel via a combination of ATR-FTIR and machine learning models.

  • 【作者】Chen, Chao,Liang, Rui,Xia, Shaige,Hou, Donghao,Abdoulaye, Boré,,Tao, Junyu,Yan, Beibei,Cheng, Zhanjun,Chen, Guanyi
  • 【作者单位】1School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China 2School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China 3Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China 4School of Science, Tibet University, Lhasa 850012, China
  • 【年份】2023
  • 【卷号】Vol.332
  • 【ISSN】0016-2361
  • 【关键词】ATR-FTIR Biodiesel Fuel properties Machine learning 
  • 【摘要】 [Display omitted] • A fast characterization method for biodiesel using ATR-FTIR and ML was proposed. • The optimal accuracy of the characterization method could reach as high as 100%. • Data downscaling improved the correlation of the biodiesel model...
  • 【文献类型】 期刊
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