Ultrasonic signal resolution improving method based on sparse blind deconvolution

A blind deconvolution, ultrasonic signal technology, applied in the processing of detected response signals, material analysis using sonic/ultrasonic/infrasonic waves, and pattern recognition in signals, etc. Obtain signal resolution and other issues to achieve the effect of improving signal resolution, improving engineering application value, and quantifying small defects

Inactive Publication Date: 2020-12-29
DALIAN UNIV OF TECH
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Problems solved by technology

However, this method will fail in the presence of noise, and when the processing results are not sparse enough, it is not enough to obtain ideal signal resolution
In actual ultrasonic testing, multiple aliasing signals w

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  • Ultrasonic signal resolution improving method based on sparse blind deconvolution
  • Ultrasonic signal resolution improving method based on sparse blind deconvolution
  • Ultrasonic signal resolution improving method based on sparse blind deconvolution

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[0050] A method for improving the resolution of ultrasonic signals based on sparse blind deconvolution, such as figure 1 The ultrasonic testing system shown includes a pulse generator, an oscilloscope and a pair of ultrasonic probes with wedges. The specific measurement and processing steps are as follows:

[0051] (1) Parameter setting. The test object is figure 1 The carbon steel sample shown, the longitudinal wave sound velocity c l =5890m / s. A Φ2mm horizontal through hole with a buried depth of 9.0mm at the upper end is processed in the test block. A pair of longitudinal wave probes with a center frequency of 2.25MHz are used for detection, the wedge angle is 60°, and the center distance of the probes is 2S=30.0mm.

[0052] (2) Signal collection. Place the ultrasonic probe symmetrically above the defect, collect the signal and export it. like figure 2 As shown in Fig. 1, the original signal collected is formed by the aliasing of multiple echoes, and there is noise...

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Abstract

The invention discloses an ultrasonic signal resolution improving method based on sparse blind deconvolution, and belongs to the technical field of nondestructive testing. According to the method, a set of ultrasonic testing system composed of a pulse generator, an oscilloscope and a pair of probes with wedge blocks is adopted, firstly, a matching pursuit algorithm is used for reconstructing collected multiple aliasing signals to remove noise interference, on the basis, system response and reflection sequences are separated based on homomorphic transformation, and finally, the sparsity of thereflection sequence is introduced, and a sparse blind deconvolution model is established in the frequency domain in combination with l2 and l1 hybrid constraints; through inversion solution, under theconditions of multiple echo aliasing and no need of a reference signal, ultrasonic signal resolution improvement and small defect quantification are realized; and compared with other methods for improving the resolution, the method has the advantages that no reference signal is needed, multiple aliasing signals can be separated, noise can be removed, the signal resolution can be improved, no extra requirement is needed for a hardware system, and the method has good engineering application value.

Description

technical field [0001] The invention relates to a method for improving the resolution of ultrasonic signals based on sparse blind deconvolution, which belongs to the technical field of nondestructive testing. Background technique [0002] Ultrasonic nondestructive testing technology is an efficient method for detecting the internal structure and properties of materials, and it is widely used in quantitative testing. However, due to the influence of pulse width and material structure, there are often problems of insufficient signal resolution and low signal-to-noise ratio, which makes quantitative detection and interpretation of defects difficult. [0003] Deconvolution is a commonly used method in the field of ultrasonic testing to improve signal-to-noise ratio and resolution. The spectral extrapolation method based on Wiener filtering uses high-SNR effective frequency band data to estimate low-frequency and high-frequency components outside the effective frequency band, wh...

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Application Information

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IPC IPC(8): G01N29/44G06K9/00
CPCG01N29/4454G01N29/4472G06F2218/04
Inventor 林莉金士杰孙旭雷明凯
Owner DALIAN UNIV OF TECH
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