Hilbert-Huang transform based signal analysis for the characterization of gas-liquid two-phase flow

Ding, H. and Huang, Z. and Song, Z. and Yan, Y. (2007) Hilbert-Huang transform based signal analysis for the characterization of gas-liquid two-phase flow. Flow Measurement and Instrumentation, 18 (1). 37 -46. ISSN 0955-5986 . (The full text of this publication is not available from this repository)

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Abstract

This paper reports the application of the Hilbert-Huang Transform (HHT) to the dynamic characterization of gas-liquid two-phase flow in a horizontal pipeline. A differential pressure fluctuation signal of gas-liquid two-phase flow is adaptively decomposed into Intrinsic Mode Functions (IMFs) through the use of Empirical Mode Decomposition (EMD) methods. Based on the EMD, the associated time-frequency-energy distribution, i.e., the Hilbert spectrum, is obtained for the analysis of the differential pressure fluctuation signal and subsequent identification of its corresponding energy characteristics. The relationship between the energy distribution of the signal and the flow pattern is established. In order to assess the effectiveness of the approach, the results obtained using the HHT are compared with those from Fourier analysis and wavelet based methods. It is found that the extracted energy characteristics give a good indication of the dynamic state of the gas-liquid two-phase flow and thus can be used for flow pattern recognition. The proposed method is a useful tool for the in-depth understanding and subsequent quantitative characterization of gas-liquid two-phase flow

Item Type: Article
Uncontrolled keywords: gas-liquid two-phase flow; differential pressure fluctuation; flow pattern; Hilbert-Huang transforms; empirical mode decomposition
Subjects: Q Science > QC Physics
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications)
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Louise Dorman
Date Deposited: 31 Mar 2008 08:21
Last Modified: 14 Jan 2010 14:06
Resource URI: http://kar.kent.ac.uk/id/eprint/2352 (The current URI for this page, for reference purposes)
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