Browse by author
Lookup NU author(s): Dr Sophia Triadaphillou, Professor Elaine Martin, Professor Gary Montague
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
A novel strategy for the analysis and interpretation of spectral data from a fermentation process is considered. The interpretation is challenging as a consequence of the large number of correlated spectral measurements recorded from the process in which a complex series of biochemical reactions occur. A full spectral analysis using PLS is the standard interpretation strategy. However, within this paper an alternative method, Spectral Window Selection (SWS), is proposed, and compared with that of genetic algorithms. SWS is shown to provide a more robust calibration model. Furthermore its performance is hypothesised to be enhanced by multiple model bagging. This claim is investigated and proven. Finally an overall calibration model is compared with a local modelling approach. The methodologies are applied and compared on an industrial NIR data-set from an antibiotic production process.
Author(s): Triadaphillou S, Martin E, Montague G, Jeffkins P, Stimpson S, Nordon A
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 15th European Symposium on Computer Aided Process Engineering (ESCAPE-15)
Year of Conference: 2005
Pages: 1393-1398
ISSN: 1570-7946
Publisher: Elsevier BV
Library holdings: Search Newcastle University Library for this item
ISBN: 0444519874
