Dimensionless Feature Parameter Extraction Method of Magnetoacoustic Emission Signal
A technology of characteristic parameters and transmitting signals, which is applied in the direction of material magnetic variables, measuring devices, and material analysis through electromagnetic means, can solve the problems of insensitivity to microstructure and stress state changes, and the annihilation of magnetoacoustic emission signals, etc. Effects of early failure insensitivity
Active Publication Date: 2022-08-09
NANCHANG HANGKONG UNIVERSITY
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[0015] In order to solve the problem that the traditional characteristic parameters of the magnetoacoustic emission signal are not sensitive to the change of the microstructure and stress state of the material, and the magnetoacoustic emission signal is easily obliterated by noise, etc., the present invention combines the adaptive Fourier decomposition algorithm and the dimensionless characteristic parameter in the analysis Based on the respective advantages of magnetoacoustic emission signals, a method for analyzing magnetoacoustic emission signals based on adaptive Fourier decomposition is proposed, and at the same time, dimensionless characteristic parameters are used to replace the ringing count, amplitude, and effective value voltage (RMS) in acoustic emission signals. Extract the characteristic parameters of the magnetoacoustic emission signal, highlight the superiority of the dimensionless characteristic parameters in the analysis of the magnetoacoustic emission signal, and verify the effectiveness of the proposed method through the results obtained in the fatigue state
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[0064] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0065] The method of extracting dimensionless characteristic parameters of magneto-acoustic emission signal is proposed, and the dimensionless characteristic parameters of magneto-acoustic emission signal are proposed. For the reconstructed magneto-acoustic emission signal, the dimensionless parameters of waveform index, pulse index, peak index and kurtosis index are used to replace the traditional The characteristic parameters of ringing count, amplitude and effective value voltage (RMS) in the acoustic emission signal are used to extract the magneto-acoustic emission signal; the steps are as follows:
[0066] 1. Dimensionless parameter feature extraction of magnetoacoustic emission based on adaptive Fourier decomposition:
[0067] In the process of experiment and acquisition of magneto-acoustic emission signal, because the magneto-acoustic emission sign...
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The invention discloses a method for extracting dimensionless characteristic parameters of a magneto-acoustic emission signal. The Unwinding AFD algorithm is used to decompose the signal into a single-component function, and the single-component function with smaller energy difference is selected to form a reconstructed signal; Extract the traditional characteristic parameters and dimensionless characteristic parameters of the magneto-acoustic emission signal under low-cycle fatigue state and high-cycle fatigue state. Failure microstructural state and stress state analysis results. The invention overcomes the influence of the traditional acoustic emission signal characteristic parameter ringing count by the threshold value, and also solves the problem that the effective value voltage as a characteristic parameter is not sensitive to early faults. It can describe the changes of the magneto-acoustic emission signal more precisely and accurately, and can make a good analysis of the magneto-acoustic emission signal, so as to guide the practical application of the relevant non-destructive testing technology on site.
Description
technical field [0001] The invention relates to a technology for extracting magneto-acoustic emission signals, in particular to a method for extracting dimensionless characteristic parameters of magneto-acoustic emission signals based on adaptive Fourier decomposition. Background technique [0002] As a new type of magnetic non-destructive testing technology, magneto-acoustic emission technology shows great potential in the early fatigue state detection method of ferromagnetic metal materials. At present, the characteristic parameters extracted for magnetoacoustic emission signal processing mainly include: ringing count, amplitude and RMS voltage, of which the RMS voltage is used to characterize the energy of the magnetoacoustic emission signal, and the ringing count and amplitude are used to characterize the magnetoacoustic emission signal. Strength of. However, the ringing count is affected by the threshold value, and the rms voltage is not sensitive to the early fatigue ...
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IPC IPC(8): G01N27/72G01N27/82
CPCG01N27/725G01N27/82Y02T90/00
Inventor 李志农吴莎曾文钧沈功田沈永娜
Owner NANCHANG HANGKONG UNIVERSITY