DocumentCode
2740332
Title
Data Mining & Its Research on Cold Rolling Mills Process
Author
Wu, Shengxi ; Liu, Xinggang
Author_Institution
Sch. of Inf. & Eng., East China Univ. of Sci. & Technol., Shanghai
Volume
2
fYear
0
fDate
0-0 0
Firstpage
7788
Lastpage
7791
Abstract
Mechanism models used in cold continuous rolling mills can reflect the general trend of production process. But the precision of models can´t satisfy the more requirements of production quality, variety and performance. In order to improve the effective of rolling models, data mining technology can be used to study and find the valuable information and knowledge, which is the newly item and research direction in rolling process field. At present many cold rolling production lines have finished the basic modification works, can acquire and save amounts of process data from the production spot. Various methods such as SVM are used to study the rolling process by model and data from another direction in the paper. The results show that data mining method can help to find more knowledge to improve the production control
Keywords
cold rolling; data mining; process control; production control; rolling mills; support vector machines; SVM; cold continuous rolling mill; data mining; production control; support vector machine; Artificial intelligence; Constraint optimization; Data mining; Electrical equipment industry; Industrial economics; Milling machines; Mining industry; Optimized production technology; Quality control; Support vector machines; Data mining; SLT; SVM; cold continuous rolling;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1713485
Filename
1713485
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