Envelope Spectrum Analysis of Pressure Fluctuation Based on Wavelet Decomposition

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Abstract:

This paper is based on the wavelet transform theory and the Hilbert transform, it aims at researching on the pressure fluctuation characteristics in the bed, through analyzing and comparing the calculated envelope spectrum of pressure signal after transforms. On the basis of self-built cold fluidized bed, we choose to change the air flow and diameter of particle in fluidized bed as the two influencing factors. For researching the pressure fluctuation characteristics of fluidized bed, we collect pressure signal of the large particle fluidized bed which under normal operation conditions. The experimental results reveal that: as the increasing of the air flow, the energy of pressure increases; and with the increase of particle size in fluidized bed, the pressure fluctuation decreases in the bed.

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3392-3396

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October 2013

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[1] Zhou Yun-Long, Zhao Hongmei, Li Yingand Li Hongwei: The image processing technology in the gas-solid two-phase flow applications in particle size measurement(Automation and Instrumentation, China 2011).

Google Scholar

[2] Chen Hongwei, et al: Analysis of Characteristic Pressure Fluctuation in Wind Cap of Bubbling Fluidized Bed (Proceedings of the CSEE 2011).

Google Scholar

[3] Angrisani, L., et al: A measurement method based on the wavelet transform for power quality analysis (Power Delivery, IEEE Transactions 1998).

DOI: 10.1109/61.714415

Google Scholar

[4] Zhao, Guibing, Jizhong Chen, and Yongrong Yang: Study on Decomposition of Pressure Fluctuations Using a Series of Daubechies (Wavelets in a Fluidized Bed. Journal of Chemical Engineering of Chinese Universities 2003).

Google Scholar

[5] Zhao Guibing, and Yongrong Yang: Multiscale resolution of fluidized‐bed pressure fluctuations (AIChE Journal 2003).

Google Scholar

[6] Fan Xianfeng, and Ming J. Zuo: Gearbox fault detection using Hilbert and wavelet packet transform (Mechanical Systems and Signal Processing 2006).

DOI: 10.1016/j.ymssp.2005.08.032

Google Scholar

[7] Peng Z.K. , Peter W. Tse, and F.L. Chu: An improved Hilbert–Huang transform and its application in vibration signal analysis (Journal of Sound and Vibration 2005).

DOI: 10.1016/j.jsv.2004.10.005

Google Scholar

[8] Huang Norden E., and Zhaohua Wu: A review on Hilbert-Huang transform: Method and its applications to geophysical studies (Reviews of Geophysics 2008).

DOI: 10.1029/2007rg000228

Google Scholar

[9] Zhou Yun-Long, et al: Applied study of hilbert-huang transform and elman neural network on flow regime Identification for gas-liquid two-phase flow(Proceedings of the Chinese Society of Electrical Engineering 2007).

Google Scholar

[10] Bouillard J.X. , and A.L. Miller: Experimental investigations of chaotic hydrodynamic attractors in circulating fluidized beds (Powder technology1994).

DOI: 10.1016/0032-5910(94)02818-4

Google Scholar

[11] Felipe C. Alberto S., and S.C.S. Rocha: Time series analysis of pressure fluctuation in gas-solid fluidized bed(Brazilian Journal of Chemical Engineering 2004).

Google Scholar

[12] Johnsson Filip, et al: Characterization of fluidization regimes by time-series analysis of pressure fluctuations (International Journal of Multiphase Flow 2000).

DOI: 10.1016/s0301-9322(99)00028-2

Google Scholar