Title :
Error Tracing & Data Mining in the Cold Rolling Process
Author :
Wang, Yiqun ; Liu, Tao ; Jiang, Wanlu ; Fang, Yiming
Author_Institution :
Coll. of Mech. Eng., Yanshan Univ., Qinhuangdao
fDate :
Aug. 30 2006-Sept. 1 2006
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 hidden 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, which is very important to improve the precision of AGC & AFC
Keywords :
cold rolling; error analysis; milling; production engineering computing; regression analysis; cold milling process; cold rolling process; data mining; data resource; error tracing; interference; regression analysis; Automatic frequency control; Data mining; Databases; Error analysis; Error correction; Interference; Milling; Shape; Strips; Thickness control;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.272
