Hybrid Partial Least Squares Models for Batch Processes: Integrating Data with Process Knowledge

被引:0
|
作者
Ghosh, Debanjan [1 ]
Mhaskar, Prashant [1 ]
Macgregor, John F. [1 ,2 ]
机构
[1] Department of Chemical Engineering, McMaster University, Hamilton,ON,L8S 4L7, Canada
[2] ProSensus Inc., Burlington,ON,L7L 5M4, Canada
来源
关键词
723.2 Data Processing and Image Processing - 921.1 Algebra - 921.6 Numerical Methods;
D O I
暂无
中图分类号
学科分类号
摘要
38
引用
收藏
页码:9508 / 9520
相关论文
共 50 条
  • [1] Hybrid Partial Least Squares Models for Batch Processes: Integrating Data with Process Knowledge
    Ghosh, Debanjan
    Mhaskar, Prashant
    MacGregor, John F.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, 60 (26) : 9508 - 9520
  • [2] Batch-to-batch optimal control of batch processes based on recursively updated nonlinear partial least squares models
    Li, Chunfu
    Zhang, Jie
    Wang, Guizeng
    CHEMICAL ENGINEERING COMMUNICATIONS, 2007, 194 (03) : 261 - 279
  • [3] Local dynamic partial least squares approaches for the modelling of batch processes
    Fletcher, N. M.
    Morris, A. J.
    Montague, G.
    Martin, E. B.
    CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2008, 86 (05): : 960 - 970
  • [4] Multi-way partial least squares in monitoring batch processes
    Nomikos, P
    MacGregor, JF
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1995, 30 (01) : 97 - 108
  • [5] Partitioned partial least squares regression with application to a batch fermentation process
    Andersen, Stina W.
    Runger, George C.
    JOURNAL OF CHEMOMETRICS, 2011, 25 (04) : 159 - 168
  • [6] Multiway Interval Partial Least Squares for Batch Process Performance Monitoring
    Stubbs, Shallon
    Zhang, Jie
    Morris, Julian
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2013, 52 (35) : 12399 - 12407
  • [7] Integrating Partial Least Squares Correlation and Correspondence Analysis for Nominal Data
    Beaton, Derek
    Filbey, Francesca
    Abdi, Herve
    NEW PERSPECTIVES IN PARTIAL LEAST SQUARES AND RELATED METHODS, 2013, 56 : 81 - 94
  • [8] A hybrid model of partial least squares and artificial neural network for analyzing process monitoring data
    Kim, YS
    Yum, BJ
    Min, K
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 2292 - 2297
  • [9] Monitoring batch processes using multi-model discriminant partial least squares
    Jiang, LY
    Xie, L
    Wang, SQ
    Wang, N
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 4158 - 4162
  • [10] A novel run-to-run optimization algorithm for batch processes using localized partial least squares regression models
    Jeong, Dong Hwi
    Lee, Chang Jun
    Lee, Jong Min
    2017 6TH INTERNATIONAL SYMPOSIUM ON ADVANCED CONTROL OF INDUSTRIAL PROCESSES (ADCONIP), 2017, : 107 - 112