基于奇异值分解的水流量标准装置状态监测方法研究

doi:10.3969/j.issn.1000-1158.2020.11.08

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Abstract A signal separation method of flowmeter based on singular value decomposition is proposed to separate the flow signal, flow fluctuation signal and noise, and accurately obtain the flow fluctuation signals with different frequency and the relative amplitude of flow fluctuation in the pipeline of the flow facility, so as to realize the condition monitoring. The simulation results show that the flow fluctuation signals with different frequencies are separated accurately, and the maximum amplitude error is only 0.0681m³/h even when the noise variance is 1. Finally, the flow fluctuation signals with relative amplitude of 0.73% and 0.25% are separated by experiment, whose frequency are consistent with the frequency of flow fluctuation caused by pump instability and valve swing. Simulation and experiment results verify the feasibility of the proposed method.

Key words： metrology water flow standard facility flow fluctuation noise elimination signal separation singular value decomposition

Received: 27 May 2020 Published: 02 November 2020

PACS:

TB937

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	Articles by authors
	SHI Hui-chao
	KANG Xi-rui
	MENG Tao

Cite this article:

SHI Hui-chao,KANG Xi-rui,MENG Tao. Research on State Monitoring Method of Water Flow Standard Facility Based on Singular Value Decomposition[J]. Acta Metrologica Sinica, 2020, 41(11): 1358-1363.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2020.11.08 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2020/V41/I11/1358

［1］《中国计量》编辑部. 流量计量综述［J］. 中国计量, 2006, (z1):5-9.
［2］Patil B J, Sondur V B. Investigation into the Causes of Pulsation of Flow of Hydraulic Pumps and Its Effects［J］.IJIRSET, 2015, 4(1): 18880-18885.
［3］刘阳, 袁寿其, 袁建平. 离心泵的压力脉动研究进展［J］. 流体机械, 2008, 36(9):33-37.
Liu Y, Yuan S Q, Yuan J P. Research progress of pressure pulsation in centrifugal pumps ［J］. Fluid Machinery, 2008, 36 (9): 33-37.
［4］于陆军, 曹久莹, 马宇明, 等. 横板型稳压罐气液两相流场数值模拟及流量稳定性研究［J］. 计量学报, 2020, 41(6):729-734.
Yu L J, Cao J Y, May M Y, et al. Numerical Simulation on Gas-liquid Two-phase Flow Field in the Horizontal-baffle Type Surge Tank and Study on the Flow Stability［J］. Acta Metrologica Sinica, 2020, 41(6):729-734.
［5］Meng T, Fan S C, Wang C, et al. Influence analysis of fluctuation parameters on flow stability based on uncertainty method［J］. Review of Scientific Instrument, 2018, 89(5): 055005-2-055005-8.
［6］孙立军, 党士忠, 张涛, 等. 流量计性能受流量稳定性影响实验［J］. 天津大学学报, 2018, 51(4):422-432.
Sun L J, Dang S Z, Zhang T, et al. Experiment on the Influence of Flow Stability on Flowmeter Measuring Performance［J］. Journal of Tianjin University, 2018, 51(4):422-432.
［7］李金海, 苏彦勋. 液体流量装置中有关换向器和稳定性检测的不确定度［J］. 计量学报, 2008, 29(5):437-440.
Li J H, Su Y X. Uncertainty of the commutator and stability measurement in liquid flowmeter standard system［J］. Acta Metrologica Sinica, 2008, 29(5):437-440.
［8］吕波, 徐良旺. 基于磁流体动力学的电磁流量计数值模拟［J］. 计量学报, 2012, 33(6):519-522.
Lü B, Xu L W. Numerical simulation of electromagnetic flowmeter based on magneto hydra dynamics and computational fluid dynamics［J］. Acta Metrologica Sinica, 2012, 33(6):519-522.
［9］孟涛, 王池, 邢超. 基于主成分分析的流量装置比对传递标准稳定性研究［J］. 计量学报, 2019, 40(5):823-828.
Meng T, Wang C, Xing C. Study on the stability of flow device comparison transfer standard based on principal component analysis［J］. Acta Metrologica Sinica, 2019, 40(5):823-828.
［10］国家质量监督检验检疫总局. JJG 1033-2007 电磁流量计［S］. 2007.
［11］Loizou P C. Speech enhancement: theory and practice［M］. Florida:CRC press, 2013.
［12］Dendrinos M, Bakamidis S, Carayannis G. Speech enhancement from noise: A regenerative approach［J］. Speech Communication, 1991, 10(1): 45-57.
［13］de Moor B. The singular value decomposition and long and short spaces of noisy matrices［J］. IEEE transactions on signal processing, 1993, 41(9): 2826-2838.
［14］李子华. 基于SVD的周期干净信号快速分解［J］. 电子设计工程, 2018, 26(6):120-123.
Li Z.H. SVD based rapid decomposition of periodic and clean signals［J］. Electronic Design Engineering, 2018, 26(6):120-123.
［15］周宪英, 高成文, 曹建华. 主成分分析法及其在数据降噪中的应用［J］. 兵工自动化, 2014, (9):55-58.
Zhou X Y, Gao C W, Cao J H. Principal component analysis method and its application in data noise reducing［J］. Ordnance Industry Automation, 2014, (9):55-58.
［16］汪朝海,蔡晋辉,曾九孙. 基于经验模态分解和主成分分析的滚动轴承故障诊断研究［J］. 计量学报, 2019, 40(6): 1077-1082.
Wang C H, Cai J H, Zeng J S. Research on Fault Diagnosis of Rolling Bearing Based on Empirical Mode Decomposition and Principal Component Analysis［J］. Acta Metrologica Sinica, 2019, 40(6): 1077-1082.