Open AccessSpectral analysis method of electrophysical non-destructive testing data
Author(s) -
V.I. Surin,
V. G. Beketov,
Ayman Abu Ghazal,
A.I. Alwaheba
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2131/5/052061
Subject(s) - convolution (computer science) , frequency domain , fourier transform , algorithm , filter (signal processing) , spectral analysis , function (biology) , transfer function , discrete fourier transform (general) , sample (material) , computer science , mathematics , mathematical analysis , fourier analysis , fractional fourier transform , physics , engineering , artificial intelligence , quantum mechanics , evolutionary biology , spectroscopy , artificial neural network , computer vision , biology , electrical engineering , thermodynamics
A computational method for spectral analysis of the electrophysical test results based on sequential mathematical algorithm transformations using a discrete linear response function has been developed. The procedure for constructing spectral functions has a certain order and is aimed at obtaining adequate results of the experimental sample approximation in the frequency domain. It is shown that use of the low-frequency FIR filter function as part of the convolution, together with the fast Fourier transform, gives accurate results for structural inhomogeneities localization in welded joints.