• 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