Vibration-based damage assessment using local attractor variance

Jonathan M. Nichols; Michael D. Todd; Lawrence N. Virgin; Louis M. Pecora

doi:10.1117/12.434112

30 July 2001 Vibration-based damage assessment using local attractor variance

Jonathan M. Nichols, Michael D. Todd, Lawrence N. Virgin, Louis M. Pecora

Proceedings Volume 4330, Smart Structures and Materials 2001: Smart Systems for Bridges, Structures, and Highways; (2001) https://doi.org/10.1117/12.434112
Event: SPIE's 8th Annual International Symposium on Smart Structures and Materials, 2001, Newport Beach, CA, United States

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.

Citation Download Citation

Jonathan M. Nichols, Michael D. Todd, Lawrence N. Virgin, and Louis M. Pecora "Vibration-based damage assessment using local attractor variance", Proc. SPIE 4330, Smart Structures and Materials 2001: Smart Systems for Bridges, Structures, and Highways, (30 July 2001); https://doi.org/10.1117/12.434112

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