Research on Sinter Quality Prediction System Based on Granger Causality Analysis and Stacking Integration Algorithm

Sinter ore quality directly affects the stability of blast furnace production. In terms of both physical and chemical properties, the main indicators of sinter quality are the TFe content, alkalinity, and drum index. By analyzing the massive historical data on the sinter production of a steel compan...

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Vydané v:	Metals (Basel ) Ročník 13; číslo 2; s. 419
Hlavní autori:	Li, Xin, Liu, Xiaojie, Li, Hongyang, Liu, Ran, Zhang, Zhifeng, Li, Hongwei, Lyu, Qing, Wen, Liangyixin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.02.2023
Predmet:	Algorithms Alkalinity Blast furnace chemistry Blast furnace gas Causality Chemical properties Coal gas Correlation analysis Data processing Energy consumption Gas pressure Goodness of fit Granger causality analysis Ignition temperature Indicators Mathematical models Missing data Neural networks Parameters Prediction models Predictions Sintering sintering quality Stacking stacking integration algorithm China
ISSN:	2075-4701, 2075-4701
On-line prístup:	Získať plný text
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