期刊
AUTOMATICA
卷 46, 期 1, 页码 204-210出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2009.10.030
关键词
Partial least squares (PLS); Weight-deflated PLS (W-PLS); Simplified PLS (SIMPLS); Process monitoring
资金
- national 973 projects [2010CB731800, 2009CB32602]
- NSFC [60721003, 60736026]
- Ministry of Education of PR China
Projection to latent structures or partial least squares (PLS) produces output-supervised decomposition on input X, while principal component analysis (PCA) produces unsupervised decomposition of input X In this paper, the effect of output Y on the X-space decomposition in PLS is analyzed and geometric properties of the PLS structure are revealed. Several PUS algorithms are compared in a geometric way for the purpose of process monitoring. A numerical example and a case study are given to illustrate the analysis results. (C) 2009 Elsevier Ltd. All rights reserved.
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