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.

Compressive sensing of full wavefield data for Structural Health Monitoring applications / Di Ianni, T.; De Marchi, L.; Perelli, A.; Marzani, A.. - In: IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL. - ISSN 0885-3010. - STAMPA. - 62:7(2015), pp. 7152731.1373-7152731.1383. [10.1109/TUFFC.2014.006925]

Compressive sensing of full wavefield data for Structural Health Monitoring applications

DE MARCHI, LUCA
;
PERELLI, ALESSANDRO;MARZANI, ALESSANDRO
2015

Abstract

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.
2015
Compressive sensing of full wavefield data for Structural Health Monitoring applications / Di Ianni, T.; De Marchi, L.; Perelli, A.; Marzani, A.. - In: IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL. - ISSN 0885-3010. - STAMPA. - 62:7(2015), pp. 7152731.1373-7152731.1383. [10.1109/TUFFC.2014.006925]
Di Ianni, T.; De Marchi, L.; Perelli, A.; Marzani, A.
File in questo prodotto:
File Dimensione Formato  
PP Compressive Sensing of Full Wave.pdf

Open Access dal 10/07/2017

Tipo: Postprint
Licenza: Licenza per accesso libero gratuito
Dimensione 3.84 MB
Formato Adobe PDF
3.84 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/475773
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 58
  • ???jsp.display-item.citation.isi??? 49
social impact