| 主成分回归和偏最小二乘法在高炉冶炼中的应用 |
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| 引用本文： | 曾九孙,刘祥官,罗世华,颜光.主成分回归和偏最小二乘法在高炉冶炼中的应用[J].浙江大学学报(理学版),2009,36(1). |
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| 作者姓名： | 曾九孙 刘祥官 罗世华 颜光 |
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| 作者单位： | 1. 浙江大学,数学系,浙江,杭州,310027
2. 江西财经大学,信息管理学院,江西,南昌,331305 |
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| 基金项目： | 科技部科技成果重点推广项目 |
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| 摘 要： | 以邯郸钢铁公司2 000 m3高炉采集的数据为样本,采用主成分回归(PCR)方法研究了各运行参数对高炉铁水含硅量的贡献,实现了高维复杂数据的降维.考虑到偏最小二乘法(PLS)在处理多重共线性数据中的优势,利用PLS对高炉铁水含硅量进行预测.结果表明,主成分回归和偏最小二乘法在对高炉冶炼过程中产生的大量数据的处理具有其独到的优势,取得了显著的效果.
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| 关 键 词： | 高炉冶炼 高维复杂数据 主成分回归 偏最小二乘法 |
Application of principal component regression and partial least square in blast furnace iron-making. |
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| ZENG Jiu-sun,LIU Xiang-guan,LUO Shi-hua,YAN Guang.Application of principal component regression and partial least square in blast furnace iron-making.[J].Journal of Zhejiang University(Sciences Edition),2009,36(1). |
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| Authors: | ZENG Jiu-sun LIU Xiang-guan LUO Shi-hua YAN Guang |
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| Institution: | 1.Department of Mathematics;Zhejiang University;Hangzhou 310027;China;2.School of Information Management;Jiangxi University of Finance & Economics;Nanchang 331305;China |
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| Abstract: | With datasets from 2 000 m3 blast furnace of Han Steel as a sample space,principal component regression(PCR) was used to investigate the contribution of operating parameters to the silicon content of hot metal in blast furnace iron-making and so the complexity of data was reduced.Considering the advantages of partial least square(PLS) in dealing with collinear data,it is used to predict silicon content.The result showed that PCR and PLS had their own advantages for application in iron-making process. |
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| Keywords: | blast furnace iron-making principal component regression partial least square |
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