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Proceedings Paper

Vibration-based damage assessment using local attractor variance
Author(s): Jonathan M. Nichols; Michael D. Todd; Lawrence N. Virgin; Louis M. Pecora
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Paper Abstract

Recently proposed methodologies in the field of vibration- based structural health monitoring have focused on the incorporation of statistical-based analysis. The structure in question is dynamically excited, some feature is identified for extraction from a measured data set, and that feature is classified as coming from a damaged or undamaged structure by means of some statistical approach. Perhaps the most important aspect of this new paradigm is the selection of a `feature' which accurately details the appearance, and possibly the location and scope, of the damage. In this paper we propose a feature derived from the field of nonlinear time-series analysis. Specifically, system response is classified according to the geometry of its dynamical attractor.

Paper Details

Date Published: 30 July 2001
PDF: 9 pages
Proc. SPIE 4330, Smart Structures and Materials 2001: Smart Systems for Bridges, Structures, and Highways, (30 July 2001); doi: 10.1117/12.434112
Show Author Affiliations
Jonathan M. Nichols, Duke Univ. (United States)
Michael D. Todd, Naval Research Lab. (United States)
Lawrence N. Virgin, Duke Univ. (United States)
Louis M. Pecora, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 4330:
Smart Structures and Materials 2001: Smart Systems for Bridges, Structures, and Highways
S.-C. Liu, Editor(s)

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