Multivariate statistical procedures for the analysis and monitoring of batch processes have
recently been proposed. These methods are based on multiway principal component
analysis (PCA) and partial least squares (PLS), and the only information needed to exploit
them is a historical database of past batches. In this paper, these procedures are extended
to allow one to use not only the measured trajectory data on all the process variables and
information on measured final quality variables but also information on initial conditions for …