Wavelet best basis compressed sensing of ultrasonic guided waves

Alessandro Perelli; Luca De Marchi; Luca Flamigni; Alessandro Marzani; Nicolò Speciale

doi:10.1117/12.2009683

17 April 2013 Wavelet best basis compressed sensing of ultrasonic guided waves

Alessandro Perelli, Luca De Marchi, Luca Flamigni, Alessandro Marzani, Nicolò Speciale

Proceedings Volume 8695, Health Monitoring of Structural and Biological Systems 2013; 86952Y (2013) https://doi.org/10.1117/12.2009683
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2013, San Diego, California, United States

Abstract

A novel Compressed Sensing (CS) procedure is presented in this study for dispersive guided wave propagation analysis in passive structure health monitoring applications. The proposed approach combines theWavelet Packet multiresolution analysis, best basis selection and coefficients thresholding to generate a sparse but accurate time-frequency representation of the acquired dispersive signal, with the CS framework to efficiently compress Lamb waves signals. This approach is tested on experimental data obtained by passive excitation in a 1 m square aluminum plate and acquiring the dispersive signal with a conventional piezoelectric sensor. The proposed algorithm performance is analysed in term of compression ratio and percent residual difference. Results show the improvement in signal reconstruction with the use of the modified CS framework respect to the EZW coding, and the robustness of the proposed approach to additive noise in transmission.

Citation Download Citation

Alessandro Perelli, Luca De Marchi, Luca Flamigni, Alessandro Marzani, and Nicolò Speciale "Wavelet best basis compressed sensing of ultrasonic guided waves", Proc. SPIE 8695, Health Monitoring of Structural and Biological Systems 2013, 86952Y (17 April 2013); https://doi.org/10.1117/12.2009683

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available