Outlier screening for ironmaking data on blast furnaces

来源 :矿物冶金与材料学报:英文版 | 被引量 : 0次 | 上传用户：xphan

【摘要】

：

Blast furnace data processing is prone to problems such as outliers.To overcome these problems and identify an improved method for processing blast furnace data

【作者】

：

Jun Zhao Shao-fei Chen Xiao-jie Liu Xin Li Hong-yang Li Qing Lyu

【机构】

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CollegeofMetallurgy,TangshanBranchofHBISGroupCo.,CollegeofMetallurgyandEnergy

【出处】

：

矿物冶金与材料学报:英文版

【发表日期】

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2021年6期

【关键词】

：

blast furnace data missing OUTLIERS data processing data mining

【基金项目】

：

This work is financially supported by the National Nature Science Foundation of China(No.52004096),the Hebei Province High-End Iron and Steel Metallurgical Joint Research Fund Project,China(No.E201920

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Blast furnace data processing is prone to problems such as outliers.To overcome these problems and identify an improved method for processing blast furnace data,we conducted an in-depth study of blast furnace data.Based on data samples from selected iron

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Outlier screening for ironmaking data on blast furnaces

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