Application of Hilbert-Huang transform to denoising in vortex flowmeter

作     者：孙志强 周孑民 周萍 

作者机构：School of Energy Science and Engineering Central South University 

出 版 物：《Journal of Central South University of Technology》 (中南工业大学学报（英文版）)

年 卷 期：2006年第13卷第5期

页      面：501-505页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 

基　　金：Project(20030335058) supported by the Special Research Fund for the Doctoral Programof Higher Education of China 

主　　题：flow measurement vortex flowmeter denoising Hilbert-Huang transform signal processing 

摘      要：Due to piping vibration, fluid pulsation and other environmental disturbances, variations of amplitude and frequency to the raw signals of vortex flowmeter are imposed. It is difficult to extract vortex frequencies which indicate volumetric flowrate from noisy data, especially at low flowrates. Hilbert-Huang transform was adopted to estimate vortex frequency. The noisy raw signal was decomposed into different intrinsic modes by empirical mode decomposition, the time-frequency characteristics of each mode were analyzed, and the vortex frequency was obtained by calculating partial mode’s instantaneous frequency. Experimental results show that the proposed method can estimate the vortex frequency with less than 2% relative error; and in the low flowrate range studied, the denoising ability of Hilbert-Huang transform is markedly better than Fourier based algorithms. These findings reveal that this method is accurate for vortex signal processing and at the same time has strong anti-disturbance ability.