Paper
15 April 2011 Characterization and compaction of Lamb wave data using a combination of S and wavelet transformations
Ibrahim N. Tansel, Gurjiwan Singh, Gurjashan Singh, Srikanth Korla, Benjamin L. Grisso, Liming W. Salvino
Author Affiliations +
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.
Ibrahim N. Tansel, Gurjiwan Singh, Gurjashan Singh, Srikanth Korla, Benjamin L. Grisso, and Liming W. Salvino "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 (15 April 2011); https://doi.org/10.1117/12.880436
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wavelets

Sensors

Aluminum

Data storage

Error analysis

Structural health monitoring

Data analysis

Back to Top