Similar articles

Abstract: A new voidage measurement method based on electrical capacitance tomography (ECT) technique, genetic Algorithm (GA) and Partial Least Square (PLS) method was proposed. The voidage measurement model, linear capacitance combination, was developed to measure on-line voidage. GA and PLS method were used to determine the coefficients of the voidage measurement model. GA was used to explore the optimal capacitance combination which gave significant contribution to the voidage measurement. PLS method was applied to determine the weight coefficient of the contribution of each capacitance to the voidage measurement. Flow pattern identification result was introduced to improve the voidage measurement accuracy. Experimental results showed that the proposed voidage measurement method is effective and that the measurement accuracy is satisfactory.

[1] Ding, H., Ji, H.F., Huang, Z.Y., Li, H.Q., 2004a. Based on Higher-Order Statistics Flow Regime Identification of Gas-Liquid Two-Phase Flow. Proceedings of the 3rd International Symposium on Instrumentation Science and Technology, p.228-232.

[2] Ding, H., Ji, H.F., Huang, Z.Y., Li, H.Q., 2004b. Higher-Order Spectrum Analysis of the Differential Pressure Fluctuation Signals of Gas-Liquid Two-Phase Flow. Proceedings of the 4th International Symposium on Measurement Techniques for Multiphase Flows, p.511-515.

[3] Han, S.L., Wu, X.J., Ni, M., 2002. Limitation and improved model of GA in combinatorial optimization. Control and Decision, 17(2):219-222 (in Chinese).

[4] Helland, I.S., 2001. Some theoretical aspects of partial least squares regression. Chemometrics and Intelligent Laboratory Systems, 58:97-107.

[5] Hewitt, G.F., 1978. Measurement of Two Phase Flow Parameters. Academic Press, London.

[6] Huang, Z.Y., Wang, B.L., Li, H.Q., 2003. Application of electrical capacitance tomography to the void fraction measurement of two-phase flow. IEEE Trans. on Instrum. Meas., 52(1):7-12.

[7] Ji, H.F., Huang, Z.Y., Wang, B.L., Li, H.Q., 2001. Wavelet-Based Flow Regime Identification of Gas-Liquid Two-Phase Flow. Proceedings of International Conference on Power Engineering, p.492-496.

[8] Leite, J.P.B., Topping, B.H.V., 1998. Improved genetic operators for structural engineering optimization. Advances in Engineering Software, 29(7):529-562.

[9] Li, H.Q., 1991. Two-Phase Flow Parameter Measurement and Applications. Zhejiang University Press, Hangzhou, China (in Chinese).

[10] Li, H.Q., Huang, Z.Y., 2000. Special Measurement Technology and its Applications. Zhejiang University Press, Hangzhou, China (in Chinese).

[11] Lin, Z.H., 1992. Characteristics of Gas-Liquid Two-Phase Flow in Pipelines and Their Engineering Applications. Xi’an Jiaotong University Press, Xi’an, China (in Chinese).

[12] Philippe, B., Vincenzo, E.V., Michel, T., 2005. PLS generalised linear regression. Computational Statistics & Data Analysis, 48:17-46.

[13] Shao, X.Y., Huang, Z.Y., Ji, H.F., Li, H.Q., 2003. Study on flow pattern identification of gas-oil two-phase flow based on electrical capacitance tomography and fuzzy pattern recognition. J. Chem. Eng. of Chinese Univ., 17(6):616-621 (in Chinese).

[14] Xuan, G.N., Cheng, R.W., 2004. Genetic Algorithms and Engineering Optimization. Tsinghua University Press, Beijing, China (in Chinese).