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Application of empirical mode decomposition based energy ratio to vortex flowmeter state diagnosis

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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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Authors and Affiliations

  1. School of Energy Science and Engineering, Central South University, Changsha, 410083, China

    Zhi-qiang Sun  (孙志强)

  2. Department of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China

    Hong-jian Zhang  (张宏建)

Authors
  1. Zhi-qiang Sun  (孙志强)
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  2. Hong-jian Zhang  (张宏建)
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Corresponding author

Correspondence to Zhi-qiang Sun  (孙志强).

Additional information

Foundation item: Project(200801346) supported by the China Postdoctoral Science Foundation; Project(2008RS4022) supported by the Hunan Postdoctoral Scientific Program; Project(2008) supported by the Postdoctoral Science Foundation of Central South University

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Sun, Zq., Zhang, Hj. Application of empirical mode decomposition based energy ratio to vortex flowmeter state diagnosis. J. Cent. South Univ. Technol. 16, 154–159 (2009). https://doi.org/10.1007/s11771-009-0026-2

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  • DOI: https://doi.org/10.1007/s11771-009-0026-2

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