On unifying multiblock analysis with application to decentralized process monitoring

S. Joe QIN*, Sergio VALLE, Michael J. PIOVOSO

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

359 Citations (Scopus)

Abstract

Westerhuis et al. (J. Chemometrics 1998; 12: 301-321) show that the scores of consensus PCA and multiblock PLS (Westerhuis and Coenegracht, J. Chemometrics 1997; 11: 379-392) can be calculated directly from the regular PCA and PLS scores respectively. In this paper we show that both the loadings and scores of consensus PCA can be calculated directly from those of regular PCA, and the multiblock PLS loadings, weights and scores can be calculated directly from those of regular PLS. The orthogonal properties of four multiblock PCA and PLS algorithms are explored. The use of multiblock PCA and PLS for decentralized monitoring and diagnosis is derived in terms of regular PCA and PLS scores and residuals. While the multiblock analysis algorithms are basically equivalent to regular PCA and PLS, blocking of process variables in a large-scale plant based on process knowledge helps to localize the root cause of the fault in a decentralized manner. New definitions of block and variable contributions to SPE and 2 are proposed for decentralized monitoring. This decentralized monitoring method based on proper variable blocking is successfully applied to an industrial polyester film process. Copyright © 2001 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)715-742
Number of pages28
JournalJournal of Chemometrics
Volume15
Issue number9
Early online date17 Aug 2001
DOIs
Publication statusPublished - Oct 2001
Externally publishedYes

Keywords

  • Consensus PCA
  • Contribution plots
  • Decentralized process monitoring
  • Multiblock PCA
  • Multiblock PLS

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