4.5 Article

Improved monitoring of batch processes by incorporating external information

Journal

JOURNAL OF PROCESS CONTROL
Volume 12, Issue 4, Pages 569-576

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/S0959-1524(01)00022-1

Keywords

multivariate statistical process control; batch process; empirical models; least-squares approximation; monitoring

Ask authors/readers for more resources

In this paper an overview is given of statistical process monitoring with the emphasis on batch processes and the possible steps to take for improving this by incorporating external information. First, the general concept of statistical process monitoring of batches is explained. This concept has already been shown to be successful according to the number of references to industrial applications. The performance of statistical process monitoring of batch processes can be enhanced by incorporating external information. Two types of external information can be distinguished: batch-run specific and process specific information. Various examples of both types of external information are given. Several ideas of how to incorporate the external information in model development are discussed. The concept of incorporating process specific information is highlighted by an example of a grey model. This model is applied to a biochemical batch process that is spectroscopically monitored. (C) 2002 Elsevier Science Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available