• DocumentCode
    2552651
  • Title

    Estimation for the mill load state with data fusion in the blending process

  • Author

    Rui, Bai ; En-jie, Ma ; Tian-you, Chai

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Liaoning Univ. of Technol., Jinzhou
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    236
  • Lastpage
    239
  • Abstract
    In the blending process of alumina production, raw materials are fed into mill and blended to form the raw-blending slurry. In this blending process, mill load is one of the key factors to affect production, energy consumption. With data fusion approach, current and vibrate are used to estimate the state of mill load on-line. Application in an alumina factory shows the validity of the proposed approach.
  • Keywords
    aluminium industry; blending; energy consumption; milling; raw materials; sensor fusion; slurries; state estimation; alumina production; blending process; data fusion; energy consumption; mill load state estimation; raw materials; raw-blending slurry; Automation; Bismuth; Educational institutions; Educational products; Information science; Laboratories; Materials science and technology; Milling machines; Production; State estimation; Blending Process; Data Fusion; Load state; Mill Lad;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597306
  • Filename
    4597306
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2552651