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Received May 7, 2010
Accepted June 2, 2010
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
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Flow regime recognition in the spouted bed based on Hilbert-Huang transformation
School of Energy and Environment, Southeast University, Nanjing 211189, P. R. China
Zzhong@seu.edu.cn
Korean Journal of Chemical Engineering, January 2011, 28(1), 308-313(6), 10.1007/s11814-010-0341-1
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Abstract
Empirical mode decomposition has been used to decompose the pressure fluctuation signals in the spouted bed into several intrinsic mode functions, and these modes were transformed from the time domain into the frequency domain by Hilbert transformation. According to the characteristic parameters extracted from these modes, flow regimes were recognized by RBF neural network, and parameters in RBF neural network were optimized by adaptive genetic algorithm. The recognition accuracy of packed bed, spouted bed, bubbly fluidized bed and slugging bed can reach 90%, 85%, 85%, 95%, respectively.
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References
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Huang NE. The Hilbert-Huang transform in engineering, Boca Raton, FL, CRC Press (2005)
Hwang PA, Huang NE, Wang DW, Appl. Ocean Res., 25, 187 (2003)
Marcus D, Schlurmann T, Ocean Engineering., 31, 1783 (2004)
Sun B, Zhang HJ, Cheng L, Zhao YX, Chin. J. Chem. Eng., 14(1), 24 (2006)
Yu DJ, Cheng JS, Yang Y, Mech. Syst. Sign. Process., 19, 259 (2005)
Li YJ, Tse PW, Yang X, Yang JG, Mech. Syst. Sign. Process., 24, 19 (2010)
Zhong WQ, Zhang MY, Proceedings of CSEE., 25, 13 (2005)
Hush DR, Horne BG, IEEE Sign. Process., 10, 8 (1993)
Bianchini M, Frasconi P, Gori M, IEEE Transaction Neural Networks., 6, 749 (1995)
Zhang AS, Zhang L, Comput. Struct., 82, 2333 (2004)
Bingul Z, Applied Soft Computing., 7, 791 (2007)
Chan FTS, Chung SH, Chan PLY, Expert Systems with Applications., 29, 364 (2005)
Wu QH, Cao YJ, Wen JY, Int. J. Electrical Power & Energy Systems., 20, 563 (1998)
An SJ, Liu WQ, Venkatesh S, Pattern Recognition., 40, 2154 (2007)
Deng R, Ma YJ, Liu YM, J. Tianjin Univ. Sci. Technol., 22, 58 (2007)
