Open AccessChaotic analysis for blast furnace ironmaking process
Author(s) -
Chuanhou Gao,
Zhimin Zhou,
Zili Shao
Publication year - 2005
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.54.1490
Subject(s) - blast furnace , entropy (arrow of time) , chaotic , transfer entropy , mathematics , silicon , metallurgy , thermodynamics , chemistry , statistical physics , physics , materials science , computer science , statistics , principle of maximum entropy , artificial intelligence
Based on the algorithm of Kolmogorov entropy presented by Grassberger and Procac cia, as the time series data of silicon content in molten iron of No.1 BF at Laiwu and No.6 BF at Linfen Iron and Steel Group Cos. to be as samples, their Kolmo gorov entropy are computed to be (01453±00151)nats·h-1-1 an d (01553±00140)nats·h-1-1, and the time scales of forecasti ng in both BFs are estimated to be about 688 and 644h respectively. Since the value of Kolmogorov entropy is finite and positive, there is chaos in both b last furnace ironmaking processes, and the idea that Kolmogorov entropy may be u sed to judge the condition of BF is presented.