Monitoring and control of manufacturing processes is an essential part of any industry. Being able to collect sensor measurements, analyse the measurements in an intelligent way, select appropriate actions and validate the desired results of these actions is a tremendous goal to be achieved. In this paper, we propose a monitoring and control framework of a multi-tier closedloop controlling lost...

In this work we apply a highly optimized simulated annealing (SA) inversion method to the reconstruction of permittivity images from real two-phase gas–oil flow electrical capacitance tomography (ECT) data. We test the SA inversion method using several flow regimes generated by varying gas and oil flow rates in a test loop facility. The SA-based permittivity inversions have some advantages over...

The flooding of packed columns is accompanied by a steep increase in liquid hold-up and pressure drop, resulting lower mass transfer efficiency potential damage to equipment. This study aims investigate, for the first time, feasibility Electrical Capacitance Tomography Convolutional Neural Networks as an intensified alternative conventional prediction methods. allows variations predominant char...

Data comparing emission computed tomography (ECT), transmission computed tomography (TCT), and radionuclide scintigraphy suggest that in many patients more accurate diagnostic information may be available from emission tomography. ECT was performed during a 4-mo period on 200 of 235 patients referred for brain scans. The data suggest that ECT has a 10% greater sensitivity than scintigraphy, and...