Exploiting Spatial Sparsity in Vibration-based Damage Detection. (2017)

• Record Type: Journal Article
• Authors: Smith, Chandler B.; Hernandez, Eric M.
• Is Part Of: Procedia engineering. Volume 199(2017)
• Page Start: 1925
• Page End: 1930
• Publication Date: 2017
• Subjects: damage detection -- vibration -- structural health monitoring -- sparsity -- sensitivity; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Conference proceedings; Periodicals; 620.005
• DOI: 10.1016/j.proeng.2017.09.284
• Languages: English
• ISSNs: 1877-7058

Abstract

Abstract: One of the main limitations traditionally encountered in vibration-based structural health monitoring (SHM) is detecting, localizing and quantifying localized damage using global response measurements. This paper presents an impulse response sensitivity approach enhanced with a LASSO regularization in order to detect spatially sparse (localized) damage. The analytical expression for impulse response sensitivity was derived using Vetter calculus. The proposed algorithm exploits the fact that when damage is sparse, an l 1 -norm regularization is more suitable than the common least squares ( l 2-norm) minimization. The proposed methodology is successfully applied in the context of a simulated 21 degree of freedom non-uniform shear beam with noise-contaminated measurements, limited modal parameters, and single input-single output and single input-two output systems.