TITLE

GUI-based toolbox in matlab for deconvolution of ultrasonic nondestructive testing signals for defect identification

AUTHOR(S)
Yamani, A.; Bettayeb, M.; Qidwai, U.; Chen, C. H.
PUB. DATE
May 2000
SOURCE
AIP Conference Proceedings;2000, Vol. 509 Issue 1, p757
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The use of ultrasonic pulse-echo reflection techniques are popular industrial methods for defect detection in metals. The ultrasonic wave, generated by a piezoelectric transducer coupled to the test specimen, propagates through the material and part of its energy is reflected when it encounters a non-homogeneity or discontinuity in its path, while the remainder is reflected by the back surface of the test specimen. The defect echo contains information regarding the material discontinuity that the ultrasonic wave has encountered in its path. By modeling this echo as a characteristic impulse response of the underlying defect, various important features can be extracted. These features are useful to classify the defect and to determine its severity. This paper describes a toolbox developed within the MATLAB environment to automatically acquire and process ultrasonic data for defect classification in real time. The toolbox has been made in Graphical User Interface (GUI) environment provided by MATLAB and has been constructed with a logical hierarchy of steps so that the testing and usage can be made extremely simple for the operator. Some of the operations involved are data acquisition, plotting, storage, application of H[sub ∞] and Higher Order Statistics (HOS) based deconvolution algorithms to extract the impulse response and finally to determine various useful features that can be used to classify the defect. Any of these operations can be performed independently as well as part of a logical sequence for defect extraction procedure. The HOS and H[sub ∞]-based filtering/deconvolution algorithms have been used in an earlier work by the same authors, to recover the defect impulse response with improved performance in environments buried under strong noise. © 2000 American Institute of Physics.
ACCESSION #
6029051

 

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