基于SVD的涡街流量计信号处理方法

Signal Processing Method of Vortex Flowmeter Based on SVD

针对涡街信号处理中振动干扰及噪声信号难以分离的问题,提出一种基于奇异值分解(SVD)的信号处理方法。在获取涡街传感器输出的两路差分信号的基础上,利用噪声系数对两路信号进行合成,并采用SVD对信号的主要频率成分进行分解。通过对涡街信号幅频关系的分析,将有效信号分量从分解出来的频率成分中提取出来,进而计算出信号的频率。测试结果表明利用SVD可以有效提取信号中的主要频率成分,滤除杂乱噪声及振动干扰信号,提高涡街流量计信号处理的准确度与抗干扰性。

Aiming at the problem that it is difficult to separate vibration interference and noise signals in vortex street signal processing,a signal processing method based on singular value decomposition(SVD)is proposed.Two differential signals output by the vortex sensor are obtained,then the two signals are synthesized by using the noise coefficients,and the main frequency components of the signal are decomposed by using SVD.By analyzing the amplitude frequency relationship of vortex street signal,the effective signal component is extracted from the decomposed frequency component,and then the signal frequency is calculated.The test results show that SVD can effectively extract the main frequency components in the signal,filter out the random noise and vibration interference signal,and improve the accuracy and anti-interference performance of vortex flowmeter signal processing.