Multiple parameters fusion of electromagnetic nondestructive inspection data for evaluation of fatigue damage in steel elements

The use of electromagnetic nondestructive testing methods to assess damage and fatigue changes is a subject of numerous studies. However, the observed signals are influenced by many factors. Thus, making a proper assessment on the basis of single parameters’ behavior is complicated task. Therefore,...

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Bibliographic Details
Published inInternational journal of applied electromagnetics and mechanics Vol. 57; no. 1_suppl; pp. 209 - 216
Main Author Psuj, Grzegorz
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.05.2018
Sage Publications Ltd
Subjects
Barkhausen effect
Crack propagation
Damage assessment
Data acquisition
Fatigue failure
Fatigue tests
Frequency domain analysis
Inspection
Noise monitoring
Nondestructive testing
Parameterization
Parameters
multi-source data fusion
nondestructive evaluation
Fatigue evaluation
AC magnetization method
magnetic Barkhausen noise
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ISSN1383-5416
1875-8800
DOI10.3233/JAE-182316

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Summary:The use of electromagnetic nondestructive testing methods to assess damage and fatigue changes is a subject of numerous studies. However, the observed signals are influenced by many factors. Thus, making a proper assessment on the basis of single parameters’ behavior is complicated task. Therefore, in this paper, an approach of multiple parameters fusion for evaluation of damage was presented. The range of material changes in steel sample after successive stages of fatigue process was monitored using Magnetic Barkhausen Noise and AC magnetization method in a selected two-dimensional region. The acquired data was then processed for the need of signals parametrization. The procedures in time, frequency and time-frequency domains were applied. Then the selection of representative features was carried out before the information was combined via multivariate regression. Finally, the obtained function was used to achieve the two-dimensional maps of evaluated damage for successive fatigue periods.
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ISSN:1383-5416
1875-8800
DOI:10.3233/JAE-182316