Automated Processing of Data from Measurement of Thermo-Electromotive Voltage and Magnetic Noise Voltage in Metals and Alloys

被引：0
|
作者：
Velev, B. G. [1 ]
Kamenov, V. V. [2 ]
机构：
[1] Bulgarian Acad Sci, Inst Mech, Sofia 1000, Bulgaria
[2] Tech Univ, Dept Mech Engn, Sofia 1000, Bulgaria
来源：
RUSSIAN JOURNAL OF NONDESTRUCTIVE TESTING | 2022年 / 58卷 / 11期
关键词：
cluster analysis; robust estimations; thermo-electromotive force; magnetic noise;
D O I：
10.1134/S1061830922600708
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
The research analyses some possibilities for automated processing of data from measuring the nondestructive testing characteristics: thermo-electromotive force (E-MF) and magnetic noise (MN), also known as Barkhausen noise (NB), represented respectively by the parameters: thermo-electromotive voltage ET and magnetic noise voltage E-NB, in samples of metals and alloys. Mathematical algorithms for developing software for an automated system for evaluating the test results are presented. Two statistical methods for classifying groups of samples and products according to measured values of E-T and E-NB, when sorting by grade (chemical composition) and heat treatment (hardness) of structural steels were investigated-cluster analysis and robust (stable) evaluations, which are suitable for data processing with high dispersion.
引用
收藏
页码：1026 / 1034
页数：9
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