Hierarchical multivariate analysis of cockle phenomena
Article first published online: 11 NOV 2003
Copyright © 2003 John Wiley & Sons, Ltd.
Journal of Chemometrics
Volume 17, Issue 10, pages 550–568, October 2003
How to Cite
Stefanov, Z. I. and Hoo, K. A. (2003), Hierarchical multivariate analysis of cockle phenomena. J. Chemometrics, 17: 550–568. doi: 10.1002/cem.825
- Issue published online: 11 NOV 2003
- Article first published online: 11 NOV 2003
- Tembec Inc. (Canada)
- paper machine
The phenomena called cockle are small wrinkles on the paper surface that appear during paper production. This condition poses significant economic and operability problems in the production of magazine paper, as it deteriorates the printabilty of the paper. There are many and varied sources that can lead to cockle, and their detection is often very complicated. In this work a multivariate hierarchical approach is proposed to analyze the cause of cockle. The hierarchy has two levels, the first of which is a three-way decomposition and analysis of the data collected from sections of a paper machine. The second level is a two-way decomposition and analysis between the combined loadings from the three-way decomposition and the measured cockle data. The results show that this approach is capable of identifying the important process sections and process variables, in spite of the large dimensionality of the problem. Data analyzed from two real industrial paper machines, involving several grades of paper, are used to demonstrate the proposed hierarchical approach. Copyright © 2003 John Wiley & Sons, Ltd.