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The integration of spectroscopic and process data for enhanced process performance monitoring

Lookup NU author(s): Chris Wong, Professor Elaine Martin, Emeritus Professor Julian Morris


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Batch process performance monitoring has been achieved primarily using process measurements with the extracted information being associated with the physical parameters of the process. With increasing attention now being paid to the application of on-line real-time process analytics through spectrometry together with the FDA Process Analytical Technologies (PAT) initiative, the use of spectroscopic information for enhanced monitoring of reactions is gaining impetus. The harmonious integration of process data and spectroscopic data then becomes a major challenge. By integrating the process and spectroscopic measurements for multivariate statistical data modelling and analysis, it is conjectured that improved process understanding and fault diagnosis can be achieved. An investigation into combining process and spectral data using multiblock and multiresolution analysis is proposed and the results from the analysis of experimental data from two industrial application studies are presented to demonstrate the improvements achievable in terms of process performance monitoring and fault diagnosis.

Publication metadata

Author(s): Wong CWL, Escott R, Martin E, Morris J

Publication type: Article

Publication status: Published

Journal: Canadian Journal of Chemical Engineering

Year: 2008

Volume: 86

Issue: 5

Pages: 905-923

ISSN (print): 0008-4034

ISSN (electronic): 1939-019X

Publisher: Wiley-Blackwell


DOI: 10.1002/cjce.20096


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