DocumentCode
3516880
Title
Multi-frequency ECT method for defect depth estimation
Author
Bernieri, Andrea ; Betta, Giovanni ; Ferrigno, Luigi ; Laracca, Marco
Author_Institution
Dept. of Autom. Electromagn. Inf. Eng. & Ind. Math., Univ. of Cassino, Cassino, Italy
fYear
2012
fDate
7-9 Feb. 2012
Firstpage
1
Lastpage
6
Abstract
Scientific research on non-destructive testing is constantly looking for new solutions, about sensors and digital signal processing techniques, to improve the detection and characterization of defects in materials. The authors have engaged this particular line of research with particular reference to non-destructive testing applied to the conductive material through the use of eddy currents. After the realization of a novel instrument based on a Giant Magneto-Resistance probe, in this paper they propose the use of a suitable multi-frequency approach to improve reliability and accuracy in the defect estimation. Key features of the proposed instrument are the capability to detect, locate, and characterize thin defects as superficial and sub-superficial cracks. A number of tests carried out both in simulation and real environments show the goodness of the proposal.
Keywords
crack detection; eddy current testing; giant magnetoresistance; magnetic sensors; reliability; signal processing; GMR sensor; conductive material; defect depth estimation; digital signal processing techniques; giant magnetoresistance probe; material defect detection; multifrequency ECT method; multifrequency eddy current testing; nondestructive testing; reliability; sensors; subsuperficial cracks; superficial cracks; thin defect characterization; thin defect detection; thin defect location; Coils; Eddy currents; Magnetic fields; Materials; Probes; Skin; GMR sensor; defect depth estimation; multifrequency eddy current testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors Applications Symposium (SAS), 2012 IEEE
Conference_Location
Brescia
Print_ISBN
978-1-4577-1724-6
Type
conf
DOI
10.1109/SAS.2012.6166304
Filename
6166304
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