• DocumentCode
    2412581
  • Title

    Data deterioration: using laboratory measurements for dynamic calibration

  • Author

    Latva-Kayra, K.

  • Author_Institution
    Meas. & Inf. Technol., Tampere Univ. of Technol., Finland
  • fYear
    2002
  • fDate
    11-13 Feb. 2002
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    Introduces a concept of data deterioration and discusses concepts of on-line dynamic calibration and data fusion in process automation, mainly in the area of pulp and paper. A few cases are presented after theoretical discussion. In dynamic calibration the laboratory analysis is used as a calibration reference to the online measurement. Also data fusion can be used to combine the measurements. Fuzzy methods can be used for this data fusion. Measurements are the most important thing when designing control and monitoring methods. If measurements are unreliable the intelligent and complex methods are futile.
  • Keywords
    calibration; paper industry; process monitoring; sensor fusion; statistical process control; calibration reference; data deterioration; data fusion; dynamic calibration; fuzzy methods; laboratory analysis; laboratory measurements; process automation; pulp and paper industry; Calibration; Laboratories; Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Decision and Control, 2002. Final Program and Abstracts
  • Conference_Location
    Adelaide, SA, Australia
  • Print_ISBN
    0-7803-7270-0
  • Type

    conf

  • DOI
    10.1109/IDC.2002.995380
  • Filename
    995380