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Proceedings Article

Characterization and compaction of Lamb wave data using a combination of S and wavelet transformations

[+] Author Affiliations
Ibrahim N. Tansel, Gurjiwan Singh, Gurjashan Singh, Srikanth Korla

Florida International Univ. (USA)

Benjamin L. Grisso, Liming W. Salvino

Naval Surface Warfare Ctr., Carderock Div. (USA)

Proc. SPIE 7982, Smart Sensor Phenomena, Technology, Networks, and Systems 2011, 798215 (April 15, 2011); doi:10.1117/12.880436
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From Conference Volume 7982

  • Smart Sensor Phenomena, Technology, Networks, and Systems 2011
  • Wolfgang Ecke; Kara J. Peters; Theodore E. Matikas
  • San Diego, California, USA | March 06, 2011

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.

© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Ibrahim N. Tansel ; Gurjiwan Singh ; Gurjashan Singh ; Srikanth Korla ; Benjamin L. Grisso, et al.
"Characterization and compaction of Lamb wave data using a combination of S and wavelet transformations", Proc. SPIE 7982, Smart Sensor Phenomena, Technology, Networks, and Systems 2011, 798215 (April 15, 2011); doi:10.1117/12.880436; http://dx.doi.org/10.1117/12.880436


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