DocumentCode :
1389291
Title :
Hilbert–Huang Transform-Based Electrostatic Signal Analysis of Ring-Shape Electrodes With Different Widths
Author :
Zhang, Wenbiao ; Wang, Chao ; Wang, Huaxiang
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Volume :
61
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
1209
Lastpage :
1217
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 high sensitivity, the electrostatic method is widely used in the measurement of the gas-solid two-phase flow. The ring-shape electrodes with different widths have different sensitivity distributions. The electrostatic signals from the electrodes of 2- and 10-mm axial widths were obtained from experiments conducted on the gas-solid two-phase flow rig. Because of the advantages of the Hilbert-Huang transform, it was utilized to investigate the characteristics of the electrostatic signals from different electrodes and to extract the features to characterize the change of solid concentrations. Considering the correlation coefficient between the features and the solid concentrations and the features´ linear performance under different air flow rates, the energies of the intrinsic mode function 3 from different signals were extracted to characterize the change of solid concentrations.
Keywords :
Hilbert transforms; correlation methods; electrodes; electrohydrodynamics; electrostatics; feature extraction; flow measurement; two-phase flow; Hilbert-Huang transform-based electrostatic signal analysis; air flow rates; correlation coefficient; electrostatic method; feature extraction; gas-solid two-phase flow rig; industrial application; intrinsic mode function; online measurement; ring-shape electrode; sensitivity distribution; signal extraction; solid concentration; Data acquisition; Electrodes; Electrostatics; Feature extraction; Finite element methods; Sensitivity; Solids; Electrostatic signal; Hilbert–Huang transform (HHT); feature extraction; finite-element modeling (FEM); solid concentration; two-phase flow;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2011.2174893
Filename :
6095365
Link To Document :
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