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Two‐dimensional dynamic PCA for batch process monitoring
Author(s) -
Lu Ningyun,
Yao Yuan,
Gao Furong,
Wang Fuli
Publication year - 2005
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.10568
Subject(s) - bay , chemical technology , science and engineering , engineering , chinese academy of sciences , library science , archaeology , geography , china , civil engineering , computer science , engineering ethics , manufacturing engineering
Batch processes play an important role in many industriesfor exible manufacturing of high value-added products. On-line monitoring of batch processes is of critical importance inensuring operation safety and quality consistency. Multivariatestatistical methods for continuous processes, such as principalcomponent analysis (PCA) and partial least square (PLS), havebeen extended to batch process monitoring with some suc-cesses, for example, multiway PCA/PLS,