Terahertz waveform selection of a pharmaceutical film coating process using a recurrent network

Li, Xiaoran and Williams, Bryan and May, Robert K. and Evans, Michael J. and Zhong, Shuncong and Gladden, Lynn F. and Shen, Yao chun and Axel Zeitler, J. and Lin, Hungyen (2021) Terahertz waveform selection of a pharmaceutical film coating process using a recurrent network. In: 2021 46th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2021 :. 2021 46th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz) . IEEE. ISBN 9781728194257

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Abstract

Waveform selection plays an important role in the processing of in-line terahertz measurements of pharmaceutical tablet coating processes. This paper presents an approach to optimise waveform selection by utilising an artificial recurrent neural network and transfer learning. The results show that the averaged coating thickness gradually increases throughout the coating process. In comparison with the conventional method, our approach allows more than double the number of waveforms to be selected without compromising on the accuracy when compared against off-line measurements. Moreover, the processing time of waveform selection decreases so that it can be applied for real-time coating monitor in the pharmaceutical industry.