Method for sparse compression optimization reconstruction of narrowband Lamb wave detection data

A detection data and narrow-band filtering technology, which is applied in the direction of measuring devices, detection of response signals, processing detection response signals, etc., can solve the problems of large data volume, long transmission time, low detection efficiency, etc., and achieve large scale and high quality Data compression and transmission, accurate calculation, and solve the effect of large amount of data

Active Publication Date: 2017-04-26
TSINGHUA UNIV
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Problems solved by technology

[0004] The problem solved by the present invention is to provide a narrow-band Lamb wave detection data sparse compression optimization reconstruction method, which solv

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  • Method for sparse compression optimization reconstruction of narrowband Lamb wave detection data
  • Method for sparse compression optimization reconstruction of narrowband Lamb wave detection data
  • Method for sparse compression optimization reconstruction of narrowband Lamb wave detection data

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Embodiment 2

[0070] Step 1: Take a piece of aluminum plate to be tested with a thickness of 3mm, and arrange the transmitting EMAT array (including 14 transmitting EMAT) and the receiving EMAT array (including 14 receiving EMAT) on both sides of the steel plate. The diameter of the EMAT is 50mm.

[0071] Step 2: Use the RF power amplifier to separately excite each EMAT in the transmitting array, and use the receiving EMAT array to receive the Lamb wave, the excitation frequency is 80kHz; the fourth-order narrowband filter circuit is used to filter the received Lamb wave detection signal, and the filter center frequency is 80kHz, take one frame of original narrowband Lamb wave detection data x(n), where n=1, 2, ..., N, and the number of data points N is 600.

[0072] Step 3: Use Discrete Fourier Transform (DFT) to analyze the narrowband Lamb wave detection data x(n):

[0073]

[0074] In the form of matrix transformation:

[0075] x=Ψs

[0076] among them,

[0077] Ψ is the discrete Fourier transform...

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Abstract

The invention discloses a method for sparse compression optimization reconstruction of narrowband Lamb wave detection data. The method comprises the steps: an EMAT emitting array and an EMAT receiving array are arranged on two sides of a to-be-tested material detection area, EMATs in the emitting array excite required modal Lamb waves with narrowband frequency respectively according to a preset order, the Lamb waves are received by the opposite receiving array, received Lamb wave detection signals are subjected to narrowband filtering treatment, and narrowband Lamb wave detection data are formed; after the detection data are obtained, discrete Fourier transform is performed, original data are reconstructed by using a teaching and learning optimization algorithm TLBO, a measurement vector and a recovery matrix are optimized, and a low-dimension measurement vector is transmitted to an upper computer. The problem that low detection efficiency is caused because a large-area plate electromagnetic ultrasonic Lamb wave tomography data size is large and the transmission time is long is solved, rapid, large-scale and high-quality data compression and transmission are achieved, a solid foundation is laid for the large-area plate Lamb wave real-time tomography, and the method has broad application prospects.

Description

Technical field [0001] The invention belongs to the technical field of metal nondestructive detection, and relates to a method for sparse compression and optimization of narrowband Lamb wave detection data. Background technique [0002] The electromagnetic ultrasonic Lamb wave defect tomography technology can quickly and effectively obtain specific information such as the contour and size of the defect. In order to implement high-quality tomography of large-area panels, the number of EMAT used can reach dozens of pairs. One collection of EMAT detection data can reach hundreds of groups, and each frame of waveform needs to be repeatedly sent and received multiple Lamb waves for noise reduction processing. Therefore, the total amount of Lamb wave detection data generated by a single imaging is huge. Including 500kB detection data estimation, the total amount of single imaging data can reach more than 5GB. In the process of scanning and imaging large-area panels, in order to ensure...

Claims

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Application Information

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IPC IPC(8): G01N29/06G01N29/44
CPCG01N29/0672G01N29/44G01N2291/0289G01N2291/023G01N29/2412G01N29/42G01N29/4481G01N2291/106G01N29/4427G01N2291/0427G01N29/46
Inventor 黄松岭赵伟张宇王珅
Owner TSINGHUA UNIV
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