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Automated production support for the bioprocess industry

Lookup NU author(s): Dr Kathryn Kipling, Professor Jarka Glassey, Professor Gary Montague, Dr Mark Willis, Dr Hugo Hiden

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Abstract

This paper describes the application of Artificial Intelligence and Multivariate Statistical Techniques to two industrial fermentation systems. In the first example, an Expert System is shown to provide tighter control of an important process parameter. This is shown to lead to improved consistency of operation. In the second application, Principal Component Analysis is applied to a final stage fermentation production facility. The results presented indicate that the algorithm can provide concise indicators of process faults that can be presented to the operators to assist them in taking suitable corrective actions.


Publication metadata

Author(s): Hiden H; Glassey J; Willis M; Montague G; Kipling K; Lennox B

Publication type: Article

Publication status: Published

Journal: Biotechnology Progress

Year: 2002

Volume: 18

Issue: 2

Pages: 269-275

ISSN (print): 8756-7938

ISSN (electronic): 1520-6033

Publisher: Wiley-Blackwell Publishing, Inc.

URL: http://dx.doi.org/10.1021/bp0101839

DOI: 10.1021/bp0101839


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