Defect deconvolution using 3rd order statistics for Ultrasonic Nondestructive Testing

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contributor.author Qidwai, Uvais en_US
contributor.author Bettayeb, Maamar en_US
contributor.author Yamani, Ahmed en_US
date.accessioned 2009-12-29T10:44:51Z en_US
date.available 2009-12-29T10:44:51Z en_US
date.issued 2007-02-12 en_US
identifier.citation Qidwai, U.; Bettayeb, M.; Yamani, A., "Defect deconvolution using 3rd order statistics for Ultrasonic Nondestructive Testing," Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on , vol., no., pp.1,4, 12-15 Feb. 2007 en_US
identifier.uri http://dx.doi.org/10.1109/ISSPA.2007.4555603 en_US
identifier.uri http://hdl.handle.net/10576/10569 en_US
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
language.iso en en_US
publisher IEEE en
subject Ultrasonic Nondestructive en_US
subject deconvolution en_US
subject flaw detection en_US
subject higher order statistics en_US
subject signal classification en_US
subject ultrasonic materials testing en_US
title Defect deconvolution using 3rd order statistics for Ultrasonic Nondestructive Testing en_US
type Article en_US


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