Abstract The flow pattern identification algorithm based on the sparsity of measured capacitance for electrical capacitance tomography (ECT) is proposed. Firstly, the over-complete dictionary of normalized capacitance measurement for investigated flow patterns is built, with which the sparse representation of the sample can be obtained. And then, the basic requirements of sparse reconstruction can be met. The orthogonal matching pursuit (OMP) algorithm is used to calculate the sparse solution of each standard sample using the over-complete dictionary.Finally, the flow pattern is identified according to the linear correlation between the sample to be identified and the sparse solution of the standard sample. Simulation and static experiments are carried out for the five typical two-phase flow patterns, and the correct identification rate is higher than 98%.
ZHANG Li-feng,MIAO Yu. Identification of Two-phase Flow Pattern Based on the Sparsity of Measured Capacitance for Electrical Capacitance Tomography[J]. Acta Metrologica Sinica, 2021, 42(7): 861-865.
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2021, Vol. 42 
