Compressive sensing with frequency warped compensation for damage detection in composite plate

TY - GEN

T1 - Compressive sensing with frequency warped compensation for damage detection in composite plate

AU - Perelli, Alessandro

AU - Harput, Sevan

AU - De Marchi, Luca

AU - Freear, Steven

PY - 2013/7/25

Y1 - 2013/7/25

N2 - This work focuses on an ultrasonic guided wave structural health monitoring (SHM) system development for composite plate inspection. The development of an in situ health monitoring system that can inspect large areas and communicate remotely to the inspector is highly computational demanding due to both the huge number of piezoelectric sensors needed and the high sampling frequency. To address this problem, a general approach for low rate sampling is developed. Compressive Sensing (CS) has emerged as a potentially viable technique for the efficient acquisition that exploits the sparse representation of dispersive ultrasonic guided waves in the frequency warped basis. The framework is applied to lower the sampling frequency and to enhance defect localization performances of Lamb wave inspection systems. As a result, an automatic detection procedure to locate defect-induced reflections was demonstrated and successfully tested on simulated Lamb waves propagating in a carbon fiber plate using PZFlex software. The proposed method is suitable for defect detection and can be easily implemented for real application to structural health monitoring.

AB - This work focuses on an ultrasonic guided wave structural health monitoring (SHM) system development for composite plate inspection. The development of an in situ health monitoring system that can inspect large areas and communicate remotely to the inspector is highly computational demanding due to both the huge number of piezoelectric sensors needed and the high sampling frequency. To address this problem, a general approach for low rate sampling is developed. Compressive Sensing (CS) has emerged as a potentially viable technique for the efficient acquisition that exploits the sparse representation of dispersive ultrasonic guided waves in the frequency warped basis. The framework is applied to lower the sampling frequency and to enhance defect localization performances of Lamb wave inspection systems. As a result, an automatic detection procedure to locate defect-induced reflections was demonstrated and successfully tested on simulated Lamb waves propagating in a carbon fiber plate using PZFlex software. The proposed method is suitable for defect detection and can be easily implemented for real application to structural health monitoring.

KW - Sensors

KW - Dispersion

KW - Compressed sensing

KW - Monitoring

KW - Vectors

KW - Transforms

KW - Time-frequency analysis

UR - https://ieeexplore.ieee.org/document/6725272/

U2 - 10.1109/ULTSYM.2013.0041

DO - 10.1109/ULTSYM.2013.0041

M3 - Conference contribution

SN - 978-1-4673-5684-8

SP - 158

EP - 161

BT - 2013 IEEE International Ultrasonics Symposium (IUS)

PB - IEEE

T2 - 2013 IEEE International Ultrasonics Symposium (IUS)

Y2 - 21 July 2013 through 25 July 2013

ER -