基于EMD的幅值归一化涡街流量计信号处理  

De-noising Method of Vortex Signal with Normalized Amplitude Based on EMD

作　　者：樊辰阳 陈洁[1] 刘晓佳[1] 尹俭 丁旭冰 

机构地区：[1]上海大学机电工程与自动化学院,上海200072 [2]浙江迪元仪表有限公司,浙江义乌322001

出　　处：《工业控制计算机》2015年第3期125-126,129,共3页Industrial Control Computer

摘　　要：采用经验模态分解(EMD)方法对涡街信号中混杂的干扰噪声进行滤除,提取出真实的涡街信号。该方法首先将原始信号输至二阶低通滤波器进行幅值归一化,然后将处理后的信号经EMD算法分解成各噪声分量和真实涡街信号分量,进一步通过施密特阈值翻转法统计频率并且判别出真实的涡街信号所在的分量,从而达到提取涡街信号的目的。最后,通过对在线涡街流量信号进行仿真分析,验证了该数字信号处理方法的有效性。The empirical mode analysis（EMD） method is used in this paper to filter out the mixed noise from the vortex signal.First,a second-order low-pass filter is used to condition the original signal to normalized amplitude.Then the signal is processed by EMD method,further to flip through Schmidt filter.The output frequencies are used to distinguish a real vortex signal so as to achieve the aim of de-noising.The signal simulation test shows that the method proposed in this paper has a good performance in flow measurement.

关 键 词：经验模态分解EMD 二阶滤波 涡街信号 

分 类 号：TN911.4[电子电信—通信与信息系统]