Dimension reduction of process dynamic trends using independent component analysis

A new approach is presented which removes the dependencies of variables through separating a smaller number of latent variables called independent components which are the constituent elements of the observed (monitored) variables. The method is introduced by reference to a case study of two continuous stirred tank reactors, which demonstrates that the method can effectively reduce the dimension. Comparison of the method with the well established principal component analysis is also made. (C) 2002 Elsevier Science Ltd. All rights reserved.