Title :
Prediction model of end-point phosphorous in converter based on cluster analysis and gray theory
Author :
Zhaoyi, Lai ; Zhi, Xie ; Hongji, Meng
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
According to the characters of converter steelmaking, a prediction model of end-point phosphorous about Multi Refining Converter was developed. The 11 factors which had a rather large correlation with the end-point phosphorus content in dephosphorization stage were chosen by gray Relation Analysis. After the data set were decomposed into clusters by agglomerative hierarchical, the gray GM(0,N) model was built to predict end-point phosphorous. The simulation results show that the built model with cluster is valid.
Keywords :
pattern clustering; phosphorus; prediction theory; steel manufacture; agglomerative hierarchical; cluster analysis; converter steelmaking; dephosphorization; end-point phosphorous; gray relation analysis; gray theory; multi refining converter; prediction model; Automation; Chemical elements; Educational institutions; Information analysis; Information science; Intelligent control; Iron; Predictive models; Slag; Steel; Agglomerative hierarchical cluster; End-point phosphorous; Gray theory; Prediction model;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593398
