Application of empirical mode decomposition based energy ratio to vortex flowmeter state diagnosis |
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Authors: | SUN Zhi-qiang ZHANG Hong-jian |
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Affiliation: | (1) School of Energy Science and Engineering, Central South University, Changsha, 410083, China;(2) Department of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China |
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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.
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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Keywords: | flow state diagnosis energy ratio vortex flowmeter empirical mode decomposition |
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