Stage-oriented statistical batch processes monitoring, quality prediction and improvement

Yuan Yao, Furong Gao

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

Multistage/multiphase is an inherent characteristic of many batch processes, which should be taken into consideration to ensure better batch process monitoring, analysis, quality prediction and improvement. In this paper, a series of stage-oriented multivariate statistical methods on such topics are reviewed. Then, the modeling problem of transition between stage and stage is discussed. A new proposed stage and transition identification and modeling method is introduced as a necessary complementary of the existing work.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
PublisherIFAC Secretariat
Edition1
ISBN (Print)9783902661005
DOIs
Publication statusPublished - 31 Jul 2008
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: 6 Jul 200811 Jul 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1
Volume17
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
Country/TerritoryKorea, Republic of
CitySeoul
Period6/07/0811/07/08

Keywords

  • Batch and semi-batch process control
  • Process modeling and identification
  • Process performance monitoring/statistical process control

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