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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Published in | Journal of process control Vol. 67; pp. 1 - 11 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.07.2018
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Subjects | |
Online Access | Get full text |
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