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Proceedings Paper

Characterization and compaction of Lamb wave data using a combination of S and wavelet transformations
Author(s): Ibrahim N. Tansel; Gurjiwan Singh; Gurjashan Singh; Srikanth Korla; Benjamin L. Grisso; Liming W. Salvino
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Paper Abstract

During the interpretation of the Lamb wave data, the main concern is often the arrival times of wave groups. Group arrival times determine the distance of the source or the reflector. The inspection of sensory signal envelopes is satisfactory to identify and localize defects. The S-transformation is proposed for isolating wave forms at their excitation frequency and obtaining their envelopes. To further minimize the storage and computational costs, reduction of the data size by down sampling (skipping 5 data points for each saved one) and compression via calculating the wavelet transformation three times are proposed. The data was reduced to 1/30th of its original size, while the reconstructed wavelet transformation had a less than 1% average error with respect to the down sized envelope signal.

Paper Details

Date Published: 15 April 2011
PDF: 8 pages
Proc. SPIE 7982, Smart Sensor Phenomena, Technology, Networks, and Systems 2011, 798215 (15 April 2011); doi: 10.1117/12.880436
Show Author Affiliations
Ibrahim N. Tansel, Florida International Univ. (United States)
Gurjiwan Singh, Florida International Univ. (United States)
Gurjashan Singh, Florida International Univ. (United States)
Srikanth Korla, Florida International Univ. (United States)
Benjamin L. Grisso, Naval Surface Warfare Ctr., Carderock Div. (United States)
Liming W. Salvino, Naval Surface Warfare Ctr., Carderock Div. (United States)


Published in SPIE Proceedings Vol. 7982:
Smart Sensor Phenomena, Technology, Networks, and Systems 2011
Wolfgang Ecke; Kara J. Peters; Theodore E. Matikas, Editor(s)

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