相位差
希尔伯特变换
干扰(通信)
信号(编程语言)
数学
萃取(化学)
理论(学习稳定性)
算法
准确度和精密度
相(物质)
计算机科学
统计
光谱密度
物理
化学
计算机网络
频道(广播)
色谱法
量子力学
机器学习
程序设计语言
作者
Jing Lu,Ping Wang,Yong Wan,Guoyu Chen,Yajun Liu,Liya Wang
出处
期刊:Journal of physics
[IOP Publishing]
日期:2022-11-01
卷期号:2369 (1): 012089-012089
标识
DOI:10.1088/1742-6596/2369/1/012089
摘要
Coriolis mass flow meter is widely used in industrial production due to their high precision and high stability. When the traditional phase difference extraction algorithm is used to extract the phase difference, Because of the influence of spectrum leakage, environmental noise and interference, the extraction error of the algorithm increases by using of traditional phase difference extraction algorithms. To improve the accuracy of phase difference extraction, an improved correlation analysis method is proposed in this paper. The improved correlation analysis method combines the Hilbert transform. First, the signals at both ends of the sensor are superimposed, and then the Hilbert transform is performed to form a reference signal, and finally the correlation analysis method is used to solve the phase difference between the original signal and the reference signal. Through simulation experiments, comparing the phase difference extraction accuracy of the improved correlation analysis method with other traditional methods, the improved correlation analysis method has higher measurement accuracy and better stability.
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