Compressive Sensing for Full Wavefield Image Recovery in Structural Monitoring ApplicationsReport as inadecuate




Compressive Sensing for Full Wavefield Image Recovery in Structural Monitoring Applications - Download this document for free, or read online. Document in PDF available to download.

1 UNIBO - Università di Bologna Bologna

Abstract : In this paper, a random sampling scheme based on Compressive Sensing CS is used in order to reduce the acquisition time of wavefield signals by means of a scanning laser Doppler vibrometer SLDV for Structural Health Monitoring SHM applications. The sampling process is indeed quite time consuming, because of noise sources and reduced amplitude of acquired signals. By virtue of the sparse characteristic of the wavefield signal representation in terms of sparsity-promoting dictionaries, e.g. Fourier, Curvelet and Wave Atom transforms, the signal can be however recovered through a limited number of measurements. The implemented CS-based procedure has been validated with experimental signals sub-sampled in a pattern of random distributed points, demonstrating the effectiveness of the approach to limit the acquisition time with extremely low information losses.

Keywords : Guided waves Interaction between wave-field and structure-material Image processing





Author: Tommaso Di Ianni - Alessandro Perelli - Luca De Marchi - Alessandro Marzani -

Source: https://hal.archives-ouvertes.fr/



DOWNLOAD PDF




Related documents