Defect deconvolution using 3rd order statistics for Ultrasonic Nondestructive Testing

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Defect deconvolution using 3rd order statistics for Ultrasonic Nondestructive Testing

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dc.contributor.author Qidwai, Uvais
dc.contributor.author Bettayeb, Maamar
dc.contributor.author Yamani, Ahmed
dc.date.accessioned 2009-12-29T10:44:51Z
dc.date.available 2009-12-29T10:44:51Z
dc.date.issued 2007-02-12
dc.identifier.uri http://dx.doi.org/10.1109/ISSPA.2007.4555603
dc.identifier.uri http://hdl.handle.net/10576/10569
dc.description.abstract Ultrasonic nondestructive testing (NDT) is primarily based upon the detection and classification of a defect in the field of industrial materials. This information is useful in making administrative decisions in terms of maintenance and replacement. The technique presented in this paper utilizes the concept of defect induction as a convolution process between the clean sample and the defect signature. Hence, to identify the type of defect a deconvolution approach can be useful. Due to several similarities between the ultrasonic echoes and the usual modulated sinusoids, a motivation is present to use 2nd and higher order statistics for completely defining the waveform. Such a definition, when compared with standard defects, will provide useful insight in terms of defect classifications and understanding. en_US
dc.language.iso en en_US
dc.subject Ultrasonic Nondestructive en_US
dc.subject NDT en_US
dc.title Defect deconvolution using 3rd order statistics for Ultrasonic Nondestructive Testing en_US
dc.type Article en_US

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