Including Vibration Characteristics Within Compressive Sensing Formulations For Structural Monitoring Of Beams

Abstract

Vibration-based monitoring of mechanical structures often involves continuous monitoring that result in high data volume and instrumentation with a large array of sensors. Previously, we have shown that Compressive Sensing (CS)-based vibration monitoring can significantly reduce both volume of data and number of sensors in temporal and spatial domains respectively. In this work, further analysis of CS-based detection and localization of structural changes is presented. Incorporating damping and noise handling in the CS algorithm improved its performance for frequency recovery. CS-based reconstruction of deflection shape of beams with fixed boundary conditions is addressed. Formulation of suitable bases with improved conditioning is explored. Restricting hyperbolic terms to lower frequencies in the basis functions improves reconstruction. An alternative is to generate an augmented basis that combines harmonic and hyperbolic terms. Incorporating known boundary conditions into the CS problem is studied.

Publication Date

1-1-2017

Publication Title

ASME 2017 Dynamic Systems and Control Conference, DSCC 2017

Volume

3

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1115/DSCC2017-5213

Socpus ID

85036608794 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85036608794

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