Application of empirical mode decomposition based energy ratio to vortex flowmeter state diagnosis
To improve the measurement performance, a method for diagnosing the state of vortex flowmeter under various flow conditions was presented. The raw sensor signal of the vortex flowmeter was adaptively decomposed into intrinsic mode functions using the empirical mode decomposition approach. Based on t...
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Published in | Journal of Central South University of Technology. Science & technology of mining and metallurgy Vol. 16; no. 1; pp. 154 - 159 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Central South University
01.02.2009
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ISSN | 1005-9784 1993-0666 |
DOI | 10.1007/s11771-009-0026-2 |
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Abstract | To improve the measurement performance, a method for diagnosing the state of vortex flowmeter under various flow conditions was presented. The raw sensor signal of the vortex flowmeter was adaptively decomposed into intrinsic mode functions using the empirical mode decomposition approach. Based on the empirical mode decomposition results, the energy of each intrinsic mode function was extracted, and the vortex energy ratio was proposed to analyze how the perturbation in the flow affected the measurement performance of the vortex flowmeter. The relationship between the vortex energy ratio of the signal and the flow condition was established. The results show that the vortex energy ratio is sensitive to the flow condition and ideal for the characterization of the vortex flowmeter signal. Moreover, the vortex energy ratio under normal flow condition is greater than 80%, which can be adopted as an indicator to diagnose the state of a vortex flowmeter. |
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AbstractList | To improve the measurement performance, a method for diagnosing the state of vortex flowmeter under various flow conditions was presented. The raw sensor signal of the vortex flowmeter was adaptively decomposed into intrinsic mode functions using the empirical mode decomposition approach. Based on the empirical mode decomposition results, the energy of each intrinsic mode function was extracted, and the vortex energy ratio was proposed to analyze how the perturbation in the flow affected the measurement performance of the vortex flowmeter. The relationship between the vortex energy ratio of the signal and the flow condition was established. The results show that the vortex energy ratio is sensitive to the flow condition and ideal for the characterization of the vortex flowmeter signal. Moreover, the vortex energy ratio under normal flow condition is greater than 80%, which can be adopted as an indicator to diagnose the state of a vortex flowmeter. |
Author | Zhang, Hong-jian Sun, Zhi-qiang |
Author_xml | – sequence: 1 givenname: Zhi-qiang surname: Sun fullname: Sun, Zhi-qiang email: zqsun@mail.csu.edu.cn organization: School of Energy Science and Engineering, Central South University – sequence: 2 givenname: Hong-jian surname: Zhang fullname: Zhang, Hong-jian organization: Department of Control Science and Engineering, Zhejiang University |
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CitedBy_id | crossref_primary_10_1016_j_flowmeasinst_2015_04_012 crossref_primary_10_1016_j_measurement_2019_02_001 crossref_primary_10_1016_j_sna_2012_07_004 crossref_primary_10_1007_s11771_013_1540_9 crossref_primary_10_1016_j_sna_2011_05_034 crossref_primary_10_1088_0957_0233_21_12_123001 crossref_primary_10_1088_0957_0233_23_12_125301 crossref_primary_10_3390_pr11051519 crossref_primary_10_3390_app13020942 |
Cites_doi | 10.1016/j.measurement.2003.08.019 10.1007/s11771-006-0076-7 10.1016/S0142-727X(99)00004-1 10.1098/rspa.2003.1221 10.1016/S0955-5986(98)00014-4 10.1109/19.199381 10.1299/jsmeb.42.586 10.1016/S0955-5986(02)00020-1 10.1088/0957-0233/16/3/R01 10.1016/j.sna.2006.12.001 10.1016/S0955-5986(03)00042-6 10.1016/S0955-5986(99)00018-7 10.1016/j.measurement.2007.03.001 10.1016/S0955-5986(02)00027-4 10.1109/LSP.2003.821662 10.1098/rspa.1998.0193 |
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Keywords | vortex flowmeter empirical mode decomposition energy ratio flow state diagnosis |
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G.BartholomeK.TimmerJ.Data-driven optimal filtering for phase and frequency of noisy oscillations: application to vortex flow metering [J]Physical Review E2004691/216216/116216/11 – reference: Amadi-EchenduJ. E.ZhuH.Signal analysis applied to vortex flowmeter [J]IEEE Transactions on Instrumentation and Measurement19924161001100410.1109/19.199381 – reference: MiauJ. J.HuC. C.ChouJ. H.Response of a vortex flowmeter to impulsive vibrations [J]Flow Measurement and Instrumentation2000111414910.1016/S0955-5986(99)00018-7 – reference: HuangN. E.ShenZ.LongS. R.WuM. C.ShihH. H.ZhengQ.YenN. C.TungC. C.LiuH. H.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J]Proceedings of Royal Society London Series A19984549039950945.6209310.1098/rspa.1998.01931631591 – reference: MiauJ. J.WuC. W.HuC. C.ChouJ. 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Physical doi: 10.1016/j.sna.2006.12.001 – volume: 15 start-page: 29 issue: 1 year: 2004 ident: 26_CR11 publication-title: Flow Measurement and Instrumentation doi: 10.1016/S0955-5986(03)00042-6 – volume: 11 start-page: 41 issue: 1 year: 2000 ident: 26_CR12 publication-title: Flow Measurement and Instrumentation doi: 10.1016/S0955-5986(99)00018-7 – volume: 41 start-page: 349 issue: 4 year: 2008 ident: 26_CR19 publication-title: Measurement doi: 10.1016/j.measurement.2007.03.001 – volume-title: Measurement in fluid mechanics [M] year: 2005 ident: 26_CR1 – volume: 13 start-page: 75 issue: 3 year: 2002 ident: 26_CR13 publication-title: Flow Measurement and Instrumentation doi: 10.1016/S0955-5986(02)00027-4 – volume: 11 start-page: 112 issue: 2 year: 2004 ident: 26_CR16 publication-title: IEEE Signal Processing Letters doi: 10.1109/LSP.2003.821662 – volume: 454 start-page: 903 year: 1998 ident: 26_CR14 publication-title: Proceedings of Royal Society London Series A doi: 10.1098/rspa.1998.0193 |
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