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The paper introduces a novel enabling step toward the widespread exploitation of the multi-dimensional process sensing offered by process tomography (PT) technology that has demonstrated a unique insight into many processes. Most current applications

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::a543867c4de19382a9dd1f9b56ae2ace
https://eprints.whiterose.ac.uk/686/1/hoylebs3front.pdf

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Determination of multi-component flow process parameters based on electrical capacitance tomography data using artificial neural networks\ud \ud

Autor: Mohamad-Saleh, J., Hoyle, B.S.

Artificial neural networks have been used to investigate their capabilities at estimating key parameters for the characterisation of flow processes, based on electrical capacitance-sensed tomographic (ECT) data. The estimations of the parameters are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::9831cc8bd8ee6ecc1399c166df3edb80
https://eprints.whiterose.ac.uk/743/1/hoylebs4.pdf

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Design and application of a multi-modal process tomography system

Autor: Hoyle, B.S., Jia, X., Podd, F.J.W., Schlaberg, H.I., Tan, H.S., Wang, M., West, R.M., Williams, R.A., York, T.A.

This paper presents a design and application study of an integrated multi-modal system designed to support a range of common modalities: electrical resistance, electrical capacitance and ultrasonic tomography. Such a system is designed for use with c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::6d9030813832b2c2df699b7304b476da
https://eprints.whiterose.ac.uk/685/1/hoylebs2.pdf

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