基于EMD的水流量标准装置中压力波动信号分析
Analysis of Pressure Fluctuation Signal in Water Flow Facility Based on EMD
DOI: 10.12677/IaE.2019.71002, PDF,    国家科技经费支持
作者: 史慧超, 康希锐：北京化工大学信息科学与技术学院，北京；孟 涛：中国计量科学研究院，北京；孔德明：燕山大学电气工程学院，河北 秦皇岛
关键词: 经验模态分解(EMD)；流量稳定性；信号分析；Empirical Mode Decomposition (EMD)； Flow Stability； Signal Analysis
摘要: 对于流量标准装置中流量稳定性这一关键性能参数的测量需求，通过测量流量标准装置中压力波动信号并通过流量标准装置中压力与流量的稳定关系可以间接计算流量波动大小，而计算结果取决于流量标准装置中压力波动信号的准确测量。本文利用模拟波动发生器在水流量标准装置中生成流量波动信号，通过经验模态分解(Empirical Mode Decomposition, EMD)方法对压力传感器测得的压力信号进行处理，从中抽取出主要的压力波动信号并准确获得波动信号的幅度与频率，从而为计算流量波动大小提供帮助。
Abstract: For the measurement requirement of flow stability, which is a key performance parameter of the flow standard facility, the flow fluctuation is often calculated indirectly by measuring the pressure fluctuation and through the stable relationship between pressure and flow in the flow standard facility. The calculation results depend on the accurate measurement of pressure fluctuation in the flow standard facility. In this paper, the flow fluctuation generator is used to generate the fluctuation in the water flow standard facility, and the measured pressure signal is processed by Empirical Mode Decomposition (EMD) method. The main pressure fluctuation signal is extracted by EMD method, and the amplitude and frequency of the fluctuation signal are obtained accurately, which can help to calculate the fluctuation of flow.
文章引用：史慧超, 康希锐, 孟涛, 孔德明. 基于EMD的水流量标准装置中压力波动信号分析[J]. 仪器与设备, 2019, 7(1): 8-14. https://doi.org/10.12677/IaE.2019.71002

参考文献

[1] Engel, R. and Baade, H.J. (2014) Quantifying Impacts on the Measurement Uncertainty in Flow Calibration Arising from Dynamic Flow Effects. Flow Measurement and Instrumentation, 44, 51-60. [Google Scholar] [CrossRef] 
[2] Berrebi, J., Deventer, J.V. and Delsing, J. (2004) Reducing the Flow Measurement Error Caused by Pulsations in Flows. Flow Measurement and Instrumentation, 15, 311-315. [Google Scholar] [CrossRef] 
[3] Dhananchezhiyan, P. and Somashekhar Hiremath, S. (2016) Optimi-zation of Multiple Micro Pumps to Maximize the Flow Rate and Minimize the Flow Pulsation. Procedia Technology, 5, 1226-1233. [Google Scholar] [CrossRef] 
[4] Meng, T., Fan, S., Wang, C., et al. (2018) A Flow Stability Evaluation Method Based on Flow-Pressure Correlation. Flow Measurement and Instrumentation, 64, 155-163. [Google Scholar] [CrossRef] 
[5] Huang, N.E., et al. (1998) The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis. Proceedings Mathematical Physical & Engineering Sciences, 454, 903-995. [Google Scholar] [CrossRef] 
[6] Amo, C., Santiago, L.D., Barea, R., et al. (2017) Analysis of Gamma-Band Activity from Human EEG Using Empirical Mode Decomposition. Sensors, 17, pii: E989.

为你推荐