The Integration of Process and Spectroscopic Data for Enhanced Knowledge Extraction in Batch Processes

Batch process performance monitoring has been achieved primarily using process measurements with the extracted information being associated with the physical parameters of the process. More recently, there has been an increase in the implementation of process spectroscopic instrumentation in the processing industries. 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. To evaluate this hypothesis, an investigation into combining process and spectral data using multiblock and multiresolution analysis is progressed. The results from the analysis of an experimental dataset demonstrate the improvements achievable in terms of performance monitoring and fault diagnosis.