A novel dynamic PCA algorithm for dynamic data modeling and process monitoring

•The paper develops a novel dynamic PCA (DiPCA) algorithm to extract a set of dynamic latent variables that capture the most dynamic variations in the data with a given number of latent factors.•The new models generate a number of principal time series that are most correlated to their past and thus...

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Bibliographic Details
Published inJournal of process control Vol. 67; pp. 1 - 11
Main Authors Dong, Yining, Qin, S. Joe
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.07.2018
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