摘要
以邯郸钢铁公司7号高炉在线采集的2000炉铁水含硅量[Si]数据为样本,对[Si]时间序列作了基于逆序数的平稳性检验.然后,在关联积分的基础上,定义了衡量不同时间序列间动力学相似性的"距离",通过等分采集得到的[Si]序列,计算子序列间的"距离",发现了高炉冶炼过程中存在显著的动力学结构突变性,最后应用DVV算法分析动力学性质变动下,高炉铁水含硅量[Si]的可预测性.
With Si time series of No.7 blast furnace （BF） at Han Iron and Steel Group Co. as sample space, the stationarity of Si time series is tested based on the number of reversed order. A statistical measure of dynamic closeness between two orbits is defined using correlation integral. Divide the Si series into equal-length windows, according to the calculation of the characterization between these windows, the dynamic abrupt changes in BF ironmaking process are detected. Finally the novel DVV （delay vector variance） method is used to examine the predictability of Si time series during the dynamic evolution.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2008年第5期2722-2727,共6页
Acta Physica Sinica
基金
国家科技成果重点推广项目(批准号:2005EC000166)
浙江省自然科学基金(批准号:Y107110)资助的课题~~
关键词
高炉冶炼
平稳性
动力学相似性
可预测性
BF ironmaking, stationarity, dynamical closeness, predictability
