PARAMETRIC METHODS FOR ECT INVERSE PROBLEM SOLUTION IN SOLID FLOW MONITORING

Andrzej Romanowski

androm@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science (Poland)

Krzysztof Grudzień


Lodz University of Technology, Institute of Applied Computer Science (Poland)

Hela Garbaa


Lodz University of Technology, Institute of Applied Computer Science (Poland)

Lidia Jackowska-Strumiłło


Lodz University of Technology, Institute of Applied Computer Science (Poland)

Abstract

The article presents the parametrisation-based methods of monitoring of the process of gravitational silo discharging with aid of capacitance tomography techniques. Proposed methods cover probabilistic Bayes’ modelling, including spatial and temporal analysis and Markov chain Monte Carlo methods as well as process parametrisation with artificial neural networks. In contrast to classical image reconstruction-based methods, parametric modelling allows to omit this stage as well as abandon the associated reconstruction errors. Parametric modelling enables the direct analysis of significant parameters of investigated process that in turn results in easier incorporation into the control feedback loop. Presented examples are given for the gravitational flow of bulk solids in silos.


Keywords:

electrical capacitance tomography, tomography image processing, gravitational flow, granular material

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Published
2017-03-03

Cited by

Romanowski, A. ., Grudzień, K. ., Garbaa, H. ., & Jackowska-Strumiłło, L. (2017). PARAMETRIC METHODS FOR ECT INVERSE PROBLEM SOLUTION IN SOLID FLOW MONITORING. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(1), 50–54. https://doi.org/10.5604/01.3001.0010.4582

Authors

Andrzej Romanowski 
androm@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Krzysztof Grudzień 

Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Hela Garbaa 

Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Lidia Jackowska-Strumiłło 

Lodz University of Technology, Institute of Applied Computer Science Poland

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