Improving Sensitivity and Reliability of Magnetic-Induction Flaw Detection Based on Dynamic Parametric Spectral Analysis

被引：0
|
作者：
A. M. Akhmetshin
A. P. Gvozdak
机构：
[1] Dnepropetrovsk National University,
来源：
Russian Journal of Nondestructive Testing | 2001年 / 37卷
关键词：
Fourier; Signal Noise; Spectral Analysis; Fourier Analysis; Experimental Test;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The paper describes a novel technique for pipe testing based on visualization of parametric pseudo-spectral characteristics of segmented signals from a magnetic-induction flaw detector. As compared with the method of fast spectral Fourier analysis, the new approach provides higher sensitivity and reliability of flaw detection in the presence of notable structural and signal noise. Results of experimental tests of the technique are given.
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页码：768 / 773
页数：5
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