W dniu 6 stycznia 2020 ukazała się publikacja "Improvement of Flow Velocity Measurement Algorithms Based on Correlation Function and Twin Plane Electrical Capacitance Tomography", której współautorem jest dr hab. inż. Robert Hanus,
prof. PRz. Artykuł został zamieszczony w czasopiśmie Sensors (OA, IF:3.031, 100 pkt MNiSW):
Mosorov V., Zych M., Hanus R., Sankowski D., Saoud A.: Improvement of flow velocity measurement algorithms based on correlation function and twin plane electrical capacitance tomography. Sensors 2020, 20(1), 306; https://www.mdpi.com/1424-8220/20/1/306
Abstract
This article discusses the correlation method for time delay estimation, its disadvantages, and drawbacks. It is shown that the correlation method for material velocity measurement based on images of instantaneous changes of the concentration material inside measured by twin planes electrical tomography has serious limitations, especially in the case of plug regime. The basic problem is the non-stationarity of measured data, therefore the requirement of correlability of input data should be fulfilled. The requirement correlatability of input data imposes limitations on the possibility of continuous velocity measurement. This means that the material velocity can only be calculated when data are correlatable. An original algorithm of automatic extraction of the suitable time intervals to calculate material velocity is proposed. The algorithm allows measuring the flow velocity in a proper and accurate way. The examples of the correct velocity calculation, using the proposed concept for the gas-solid flow regime, are presented.
