Principal Factor Analysis for Main Raw Materials’ Transformation Efficiency in Iron-Making Systems

Yan Hong Wang; Hua Zhang; Zhi Gang Jiang; Gang Zhao

doi:10.4028/www.scientific.net/AMR.655-657.2307

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Principal Factor Analysis for Main Raw Materials’ Transformation Efficiency in Iron-Making Systems

Abstract:

The transformation efficiency of main raw materials in iron-making systems is influenced by many factors. Principal factor should be selected to describe the relationship between the transformation efficiency and the Influencing factors. A principal factor analysis model based on Grey Correlation Analysis (GCA) is proposed in this paper. The model is employed to process blast furnace production data and determining the principal factor which is the research base of mathematical model of the transformation efficiency of main raw materials.