Title :
Hilbert-Huang transform based electrostatic signal analysis for characterization of dilute gas-solid two-phase flow
Author :
Zhang, Wenbiao ; Wang, Chao ; Wang, Huaxiang
Author_Institution :
Tianjin Key Lab. of Process Meas. & Control, Tianjin Univ., Tianjin, China
Abstract :
Online measurement of the particulate flow plays a significant role in the monitoring and controlling process of the industrial application. Due to the simple structure and non-intrusive character, the electrostatic sensor is widely used in industrial applications. The electrostatic signal from ring-shape electrostatic sensor was used in this paper to investigate the flow dynamics. Because of the advantages of Hilbert-Huang Transform, it was utilized to characterize the flow dynamics from the electrostatic signal of dilute gas-solid two-phase flow in the horizontal pipeline. A new method was introduced to eliminate the noise component of the electrostatic signal. The filtered electrostatic signal was then analyzed to find the relationship between the average fluctuation frequency and air flow rate. Besides, it can be concluded that the energy of the selected intrinsic mode functions can be a useful parameter to characterize the solid-phase concentration.
Keywords :
Hilbert transforms; electric sensing devices; electrohydrodynamics; flow measurement; flow sensors; fluctuations; noise; pipe flow; pipelines; signal denoising; two-phase flow; Hilbert-Huang transform; air flow rate; average fluctuation frequency; controlling process; dilute gas-solid two phase flow characterization; electrostatic signal analysis; electrostatic signal filtering; horizontal pipeline; industrial application; intrinsic mode function; monitoring process; noise elimination; nonintrusive character; online measurement; particulate flow dynamics; ring shape electrostatic sensor; solid-phase concentration; Electrostatic measurements; Electrostatics; Fluctuations; Fluid flow measurement; Noise; Pipelines; Solids; Hilbert-Huang transform; dilute gas-solid two-phase flow; electrostatic signal; empirical mode decomposition; intrinsic mode function;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE
Conference_Location :
Binjiang
Print_ISBN :
978-1-4244-7933-7
DOI :
10.1109/IMTC.2011.5944039