Multirate dynamic inferential modeling for multivariable processes

被引:55
作者
Lu, NY
Yang, Y
Gao, FR
Wang, FL
机构
[1] Hong Kong Univ Sci & Technol, Dept Chem Engn, Kowloon, Hong Kong, Peoples R China
[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
关键词
partial least squares (PLS); multiblock PLS; multirate inferential modeling; on-line quality prediction;
D O I
10.1016/j.ces.2003.12.003
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A PLS-based multirate dynamic modeling is proposed for quality prediction at a faster rate for multivariable processes with different sampling rates between the process and quality variables. Depending on the nature of the process and quality variables, two model representations are proposed, one-block form for the process with closed-loop quality control, and two-block form for the process without the closed-loop quality control. The applications of the proposed models are compared with respect to two processes, a three-stage absorber and the TE process. The ability of the proposed model to predict quality at a faster rate is demonstrated with the complex TE process. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:855 / 864
页数:10
相关论文
共 32 条
  • [1] Inferential quality assessment in breakfast cereal production
    Albert, S
    Hiden, H
    Conlin, A
    Martin, EB
    Montague, GA
    Morris, AJ
    [J]. JOURNAL OF FOOD ENGINEERING, 2001, 50 (03) : 157 - 166
  • [2] PLS regression methods
    Höskuldsson, Agnar
    [J]. Journal of Chemometrics, 1988, 2 (03) : 211 - 228
  • [3] A PLANT-WIDE INDUSTRIAL-PROCESS CONTROL PROBLEM
    DOWNS, JJ
    VOGEL, EF
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 1993, 17 (03) : 245 - 255
  • [4] FRIEDLAND B, 1960, P 1 IFAC C, P361
  • [5] PARTIAL LEAST-SQUARES REGRESSION - A TUTORIAL
    GELADI, P
    KOWALSKI, BR
    [J]. ANALYTICA CHIMICA ACTA, 1986, 185 : 1 - 17
  • [6] ADAPTIVE MULTIRATE STATE AND PARAMETER-ESTIMATION STRATEGIES WITH APPLICATION TO A BIOREACTOR
    GUDI, RD
    SHAH, SL
    GRAY, MR
    [J]. AICHE JOURNAL, 1995, 41 (11) : 2451 - 2464
  • [7] AN ADAPTIVE ESTIMATION ALGORITHM FOR INFERENTIAL CONTROL
    GUILANDOUST, MT
    MORRIS, AJ
    THAM, MT
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1988, 27 (09) : 1658 - 1664
  • [8] Dynamic inferential estimation using principal components regression (PCR)
    Hartnett, MK
    Lightbody, G
    Irwin, GW
    [J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1998, 40 (02) : 215 - 224
  • [9] INFERENTIAL CONTROL OF PROCESSES .1. STEADY-STATE ANALYSIS AND DESIGN
    JOSEPH, B
    BROSILOW, CB
    [J]. AICHE JOURNAL, 1978, 24 (03) : 485 - 492
  • [10] DEVELOPMENT OF INFERENTIAL PROCESS MODELS USING PLS
    KRESTA, JV
    MARLIN, TE
    MACGREGOR, JF
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 1994, 18 (07) : 597 - 611