title: Compressive sensing of full wave field data for structural health monitoring applications.
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.
authors.forename: Tommaso
authors.initials: T
authors.lastname: Di Ianni
authors.forename: Luca
authors.initials: L
authors.lastname: De Marchi
authors.forename: Alessandro
authors.initials: A
authors.lastname: Perelli
authors.forename: Alessandro
authors.initials: A
authors.lastname: Marzani
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D014463:Ultrasonography / Q000379:methods*