Title
Error Tracing & Data Mining in the Cold Rolling Process
Abstract
The cross thickness and strip shape are the main guideposts of cold rolling strip. The important task of the AGC & AFC system is to erase the influence of the interference in the cold milling process. To acquire the accurate regularity of those interferences and improve the control effect, the main sources & reasons of longitudinal & cross thickness error are analyzed & described in detail using data mining theory & error tracing technology. Where the database of cold milling process is relied on as data resource, the interferences hided in it are separated and traced to their sources. Through special regression analysis, the character of these inferences is distinguished.. Then the models of inferences are made sure, whichi is very important to improve the precision of AGC &AFC.
Year
DOI
Venue
2006
10.1109/ICICIC.2006.272
international conference on innovative computing, information and control
Keywords
Field
DocType
cross thickness,important task,main guidepost,Data Mining,AFC system,cold rolling strip,cross thickness error,Error Tracing,Cold Rolling Process,main source,data resource,data mining theory,cold milling process
Data mining,Regression analysis,Computer science,Interference (wave propagation),Tracing
Conference
ISBN
Citations 
PageRank 
0-7695-2616-0
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Yiqun Wang100.68
Tao Liu200.34
Wanlu Jiang341.58
Yiming Fang4309.71