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Vibration type flow meter characteristic signal extraction method

A technology of characteristic signal and extraction method, which is applied in the direction of volume/mass flow generated by mechanical effects, and through the detection of dynamic effects of fluid flow, etc., and can solve problems such as large amount of calculation, modal confusion, and white noise residue

Inactive Publication Date: 2015-04-29
SHANDONG UNIV OF TECH
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Problems solved by technology

MEEMD decomposition not only solves the modal confusion problem in EMD decomposition, but also overcomes the problems of large amount of calculation, modal splitting, and white noise residue in EEMD decomposition and CEEMD decomposition.

Method used

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  • Vibration type flow meter characteristic signal extraction method
  • Vibration type flow meter characteristic signal extraction method
  • Vibration type flow meter characteristic signal extraction method

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0062] attached figure 2 Middle: 1. DH-131E acceleration sensor 2. Fluid flow direction 3. Vortex generator 4. DH-131E acceleration sensor.

[0063] 1. Signal collection: use the acceleration sensor to collect the flow signal of the vibrating flowmeter. The acceleration sensor used in this application is a DH-131E IEPE piezoelectric acceleration sensor with a sensitivity of , the range is , frequency range 0.5 ~ 10KHz. The acceleration sensors are distributed on two symmetrical positions to better reflect the vibration characteristics of the flow signal of the fluid vibrating flowmeter.

[0064] 2. Use the adaptive endpoint continuation method of waveform matching to extend the two ends of the signal. The continuation of the signal includes left continuation and right continuation. The following only takes the left continuation as an example, and the original signal is ;

[0065] 1) OK The maximum and minimum points at the left endpoint are denoted as , , remembe...

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Abstract

The invention provides a vibration type flow meter characteristic signal extraction method based on improved assemble average empirical mode decomposition. The method includes the steps of conducting end continuation processing on a collected vibration type flow meter flow vibration signal through a waveform-matched self-adaption end continuation method, conducting envelope line fitting on the collected vibration signal through a cubic B-spline method, conducting MEEMD decomposition to obtain a plurality of IMF components, conducting relevance analysis on the IMF components and the original signal, selecting the useful IMF components, conducting HHT conversion on the IMF components, and obtaining the Hilbert time-frequency spectrum and the marginal spectrum of the flow signal, wherein the Hilbert time-frequency spectrum and the marginal spectrum are the signal characteristics of the vibration type flow meter flow vibration signal. The method is suitable for accurately and rapidly metering the pipe network fluid flow in the industrial field.

Description

technical field [0001] This application proposes a method for extracting characteristic signals of a vibratory flowmeter based on improved lumped mean empirical mode decomposition (MEEMD). Background technique [0002] The vibrating flowmeter is a key measurement component in the supply pipeline network, and whether it can measure accurately and quickly has an important impact on the entire supply pipeline network. In the flow supply process of the pipeline network, the vortex flow signal of the vibrating flowmeter is composed of the sinusoidal vortex signal generated by the flow velocity and the noise signal caused by external interference. When the flow rate is large, the signal amplitude is large, and the signal-to-noise ratio High, the impact caused by noise is not significant; when the flow rate is small, the signal amplitude is small, the signal-to-noise ratio is low, and the waveform of the flow signal is prone to distortion, so low flow rate and small flow measuremen...

Claims

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Application Information

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IPC IPC(8): G01F1/32
Inventor 许同乐王营博陈康马金英
Owner SHANDONG UNIV OF TECH
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