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Control for Aluminum Production and Other Processing Industries
book

Control for Aluminum Production and Other Processing Industries

by Mark P. Taylor, John J. Chen, Brent Richmond Young
October 2013
Intermediate to advanced content levelIntermediate to advanced
252 pages
8h 17m
English
CRC Press
Content preview from Control for Aluminum Production and Other Processing Industries
196 Control for Aluminum Production
multivariable process, whereas t
r
is the R principal components that
form thePCA model, and E is assumed to be random errors.
15
The prin-
cipal components (PCs) are dened by the R loading vectors (p
r
) that are
the eigenvectors of X (K × J), and these vectors are used to transform the
data, X (K × J), into its R principal components. The number of princi-
pal components for the PCA model is lower than the number of process
variables, i.e., R is less than J. The R loading vectors provide a direction
of maximum variability in the process so that one can observe the pro-
cess using the model built from a few pri ...
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Publisher Resources

ISBN: 9781466514690