• DocumentCode
    2525386
  • Title

    A modeling method for quality prediction of batch process

  • Author

    Xiao, Dong ; Wang, Jichun ; Mao, Zhi-zhong

  • Author_Institution
    Northeastern Univ., Shenyang, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    4110
  • Lastpage
    4114
  • Abstract
    The traditional MPLS method have the defects of complex structure, extensive calculation, data unevenness in modeling and predicting for the quality prediction of the batch process. Mean value staged MICR method was proposed to overcome the disadvantage. The method used in modeling of tube hollow quality prediction can improve seamless tubes quality effectively. Its obvious benefits are low maintenance cost, good real time function, high reliability precision, and can be used on-line for the prediction and optimization on quality of tube hollow.
  • Keywords
    batch processing (industrial); independent component analysis; pipes; quality control; signal processing; MPLS method; batch process; complex structure defects; data unevenness; independent component analysis; maintenance cost; mean value staged MICR method; real time function; reliability precision; seamless tubes; signal processing technique; tube hollow quality prediction; Accuracy; Batch production systems; Computational modeling; Data models; Electron tubes; Multiprotocol label switching; Predictive models; ICA; batch processes; quality prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968945
  • Filename
    5968945