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Error Tracing & Data Mining in the Cold Rolling Process
Beijing, China August 30-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.272First International Conference on Inn ...
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Yiqun Wang, Tao Liu, Wanlu Jiang, Yiming Fang, "Error Tracing & Data Mining in the Cold Rolling Process," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 636-639, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.272,
author = {Yiqun Wang and Tao Liu and Wanlu Jiang and Yiming Fang},
title = {Error Tracing & Data Mining in the Cold Rolling Process},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {2},
year = {2006},
isbn = {0-7695-2616-0},
pages = {636-639},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.272},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Error Tracing & Data Mining in the Cold Rolling Process
SN - 0-7695-2616-0
SP636
EP639
A1 - Yiqun Wang,
A1 - Tao Liu,
A1 - Wanlu Jiang,
A1 - Yiming Fang,
PY - 2006
KW - null
VL - 2
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Yiqun Wang, Yanshan University, China
Tao Liu, Yanshan University, China
Wanlu Jiang, Yanshan University, China
Yiming Fang, Yanshan University, China
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.
Citation:
Yiqun Wang, Tao Liu, Wanlu Jiang, Yiming Fang, "Error Tracing & Data Mining in the Cold Rolling Process," icicic, vol. 2, pp.636-639, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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