• DocumentCode
    3210922
  • Title

    Data Mining Application in Controlling the Pressure of Gas-Collecting Pipe

  • Author

    Zhigang Li ; Zhongkui Sun ; Rulin Wang

  • Author_Institution
    Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
  • fYear
    2006
  • fDate
    7-11 Aug. 2006
  • Firstpage
    1214
  • Lastpage
    1218
  • Abstract
    The pressure of gas-collecting pipe is the main technology parameter in the production of coke oven. At present, people have adopted the advanced strategy that combined fuzzy control and expert controlling together in lots of factories. Fuzzy rules are generally created based on experience conclusions. It is in the basic of experience. This paper applies data mining to intelligent control, and it gives a new approach for obtaining fuzzy rules to mine history data. The method based on data has functions as acquiring automatically fuzzy rules, creating and perfecting automatically knowledge base. Simultaneously it doesn´t depend on seriously transcendent knowledge of material object in the period of system design, and it has independence of algorithm when running, and so on.
  • Keywords
    control engineering computing; data mining; fuzzy control; intelligent control; pipelines; pressure control; data mining; fuzzy rules; gas-collecting pipe; intelligent control; pressure control; Artificial intelligence; Automatic control; Data mining; Databases; Delta modulation; Fuzzy control; Ovens; Pressure control; Production systems; Statistical analysis; K-means; analysis; clustering; data mining; fuzzy rules; the gas-collecting pipe pressure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2006. CCC 2006. Chinese
  • Conference_Location
    Harbin
  • Print_ISBN
    7-81077-802-1
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.280608
  • Filename
    4060274