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

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【作者】Chen, Chao，Liang, Rui，Xia, Shaige，Hou, Donghao，Abdoulaye, Bore，Tao, Junyu，Yan, Beibei，Cheng, Zhanjun，Chen, Guanyi
【作者单位】¹ Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300350, Peoples R China. ;² Tianjin Univ Commerce, Sch Mech Engn, Tianjin 300134, Peoples R China. ;³ Tianjin Engn Res Ctr Bio Gas Oil Technol, Tianjin Key Lab Biomass Wastes Utilizat, Tianjin 300072, Peoples R China. ;⁴ Tibet Univ, Sch Sci, Lhasa 850012, Peoples R China.
【年份】2023
【卷号】Vol.332
【ISSN】0016-2361
【关键词】FUEL PROPERTIES OIL EXTRACTION PREDICTION BIOMASS
【摘要】 This study proposed a fast characterization method for biodiesel based on attenuated total reflection flourier-transform infrared spectroscopy and machine learning models. The concerning characteristics of biodiesel include unsaturated group content,...
【文献类型】期刊