Compressive sensing of full wave field data for structural health monitoring applications

TY - JOUR

T1 - Compressive sensing of full wave field data for structural health monitoring applications

AU - Ianni, Tommaso Di

AU - Marchi, Luca De

AU - Perelli, Alessandro

AU - Marzani, Alessandro

PY - 2015/7/1

Y1 - 2015/7/1

N2 - Numerous nondestructive evaluations and structural health monitoring approaches based on guide waves rely on analysis of wave fields recorded through scanning laser Doppler vibrometers (SLDVs) or ultrasonic scanners. The informative content which can be extracted from these inspections is relevant; however, the acquisition process is generally time-consuming, posing a limit in the applicability of such approaches. To reduce the acquisition time, we use a random sampling scheme based on compressive sensing (CS) to minimize the number of points at which the field is measured. The CS reconstruction performance is mostly influenced by the choice of a proper decomposition basis to exploit the sparsity of the acquired signal. Here, different bases have been tested to recover the guided waves wave field acquired on both an aluminum and a composite plate. Experimental results show that the proposed approach allows a reduction of the measurement locations required for accurate signal recovery to less than 34% of the original sampling grid.

AB - Numerous nondestructive evaluations and structural health monitoring approaches based on guide waves rely on analysis of wave fields recorded through scanning laser Doppler vibrometers (SLDVs) or ultrasonic scanners. The informative content which can be extracted from these inspections is relevant; however, the acquisition process is generally time-consuming, posing a limit in the applicability of such approaches. To reduce the acquisition time, we use a random sampling scheme based on compressive sensing (CS) to minimize the number of points at which the field is measured. The CS reconstruction performance is mostly influenced by the choice of a proper decomposition basis to exploit the sparsity of the acquired signal. Here, different bases have been tested to recover the guided waves wave field acquired on both an aluminum and a composite plate. Experimental results show that the proposed approach allows a reduction of the measurement locations required for accurate signal recovery to less than 34% of the original sampling grid.

KW - Dictionaries

KW - Compressed sensing

KW - Dispersion

KW - Acoustics

KW - Atomic clocks

KW - Monitoring

KW - Fourier transforms

UR - https://ieeexplore.ieee.org/document/7152731/

U2 - 10.1109/TUFFC.2014.006925

DO - 10.1109/TUFFC.2014.006925

M3 - Article

SN - 1525-8955

VL - 62

SP - 1373

EP - 1383

JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

JF - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

IS - 7

M1 - 7152731

ER -