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Author Qidwai, Uvaisen_US
Author Bettayeb, Maamaren_US
Author Yamani, Ahmeden_US
Available date 2009-12-29T10:44:51Zen_US
Publication Date 2007-02-12en_US
Publication Name 9th International Symposium on Signal Processing and Its Applications (ISSPA) 2007
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. 2007en_US
URI http://dx.doi.org/10.1109/ISSPA.2007.4555603en_US
URI http://hdl.handle.net/10576/10569en_US
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 enen_US
Publisher IEEEen
Subject Ultrasonic Nondestructiveen_US
Subject deconvolutionen_US
Subject flaw detectionen_US
Subject higher order statisticsen_US
Subject signal classificationen_US
Subject ultrasonic materials testingen_US
Title Defect deconvolution using 3rd order statistics for Ultrasonic Nondestructive Testingen_US
Type Conference Paperen_US


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