Journal article
Multivariate analysis and optimization of process variable trajectories for batch processes
Abstract
A new methodology for analyzing batch and semi-batch process variable trajectories is proposed in this paper for process development and optimization. It is aimed at identifying trajectory features such as cumulative effects and time-specific effects of process variables on final product quality. A new pathway multi-block PLS algorithm, valid under the assumption of linear and additive effects, is proposed to efficiently incorporate information …
Authors
Duchesne C; MacGregor JF
Journal
Chemometrics and Intelligent Laboratory Systems, Vol. 51, No. 1, pp. 125–137
Publisher
Elsevier
Publication Date
May 2000
DOI
10.1016/s0169-7439(00)00064-2
ISSN
0169-7439