摘要
板带连轧过程中,板带中心线偏离轧制系统设定中心线的现象称做跑偏。以铝板带轧制现场跑偏数据为基础,分析跑偏信号的混沌分形特征,提出一种基于改进模糊c-均值聚类的模式分类方法并以此划分跑偏模式,构建板带连轧跑偏零阶加权局域预测模型。经现场数据测试,预测结果达到预期精度。
In strip tandem rolling process, there is always deviation between the center line of the strip and the assumed center line, which is called running deviation. In this thesis, based on the actual running deviation data of some aluminum strip rolling industry, we analyzed their chaos and fractal character, proposed one improved pattern classification based on the fuzzy c-average clustering, on basis of this method classified running deviation pattern, constructed adding weight zero-order local prediction method of strip truning deviation signal.After the s actual data test, the forecasting result achieves the desired accuracy.
出处
《机械》
2009年第10期10-13,共4页
Machinery
关键词
板带跑偏
混沌分形
模糊聚类
局域预测
strip running deviation
chaos and fractal
fuzzy cluster
local prediction
