Estimation of the rotation angle of gas/solid swirl flow by subpixel image resizing

Mosorov, Volodymyr; Sankowski, Dominik

doi:10.1002/apj.2177

Cited by 2 publications

(1 citation statement)

References 11 publications

(19 reference statements)

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“…However, there are some issues related to nonlinear nature of electrical field associated with extracting required process-related information from ECT data [3] [4] [5]. Therefore some methods aiming at improving the inverse problem conditions were developed over last 20 years [6] [14]. Here a contextual tomography-based measurement data processing approach is proposed.…”

Section: A Pneumatic Conveying and Ectmentioning

confidence: 99%

Contextual processing of electrical capacitance tomography measurement data for temporal modeling of pneumatic conveying process

Romanowski

2018

Annals of Computer Science and Information Systems

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This work covers deployment of contextual processing of measurement data in application to temporal modeling of pneumatic conveying industrial process. Electrical capacitance tomography (ECT) used as a non-invasive process monitoring tool is supported by data mining for regularization of nonlinear inverse problem solution. Processing of a larger number of archived experimental datasets enables extracting additional constraints for inference. Contextual data processing model (CDPM) extracts demanded information from the data in order to incorporate it as an expert knowledge about the process temporal behavior. Then it is incorporated into the Bayesian inference framework. Comparative analysis with previous work and domain expert prepared baseline to the proposed approach is demonstrated. Additionally, simplified parameterization is tested and verified by the quantitative experimental analysis.

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