摘要
提出了一种基于重叠短汉宁窗离散时间傅里叶变换(DTFT)算法的科氏流量计信号处理方法。首先采用新式自适应陷波器对科氏流量计时变信号进行滤波求其频率,然后采用重叠短汉宁窗DTFT算法实时计算两路信号之间的相位差,再根据频率和相位差求得时间差,最终测得质量流量。仿真和实测结果表明本文方法实用有效。
A method for signal processing of Coriolis mass flowmeter（CMF） is proposed based on discrete time Fourier transform （DTFT） algorithm with overlap Hanning windows. Firstly, a new adaptive notch filter is applied to filter the sensor output signals of CMF and calculate the frequency. Then, the DTFT algorithm with overlap Hanning windows is introduced to calculate the real-time phase difference between two enhanced signals. With the obtained frequency and phase difference, the time interval between two signals is calculated and then the mass flow rate is derived ultimately. The simulation and field testing results show that the proposed method is efficient.
出处
《数据采集与处理》
CSCD
北大核心
2013年第1期22-27,共6页
Journal of Data Acquisition and Processing
基金
国家自然科学基金(60871098
61271449)资助项目
重庆市自然科学基金重点(CSTC
2011BA2015)资助项目
关键词
科氏流量计
自适应陷波器
相位差
负频率
Coriolis mass flowmeter
adaptive notch filter
phase difference
negative frequency
