Abstract
Voidage measurement of two-phase flow is of great importance to the industrial sector, in terms of safety, environmental protection and energy saving. Electrical capacitance tomography (ECT) is an effective technique for elucidating the distribution of dielectric materials inside closed pipes or vessels. Three currently proposed voidage measurement methods, which are based on Genetic Algorithm - Partial Least Square (GA-PLS), Ant System Algorithm (ASA), and Least Squares Support Vector Machine (LS-SVM) are reviewed respectively. All the data under three voidage measurement methods come from the ECT sensor. Then a unifying model is proposed to provide a universal voidage measurement framework. Finally, the experimental data are used to evaluate the three methods. The evaluation results are compared in terms of mean squared error, maximum absolute error, mean absolute error and measurement time. Future possible voidage measurement method based on ECT capacitance information is also discussed.
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Guo, Y., Peng, Z. (2009). Comparative Study on Three Voidage Measurement Methods for Two-Phase Flow. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_107
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DOI: https://doi.org/10.1007/978-3-642-01513-7_107
Publisher Name: Springer, Berlin, Heidelberg
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