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Proceedings Paper

Detecting generalized dynamic inter-relationship in a frame experiment with measures of information flow and interdependence
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Paper Abstract

Structural system identification, historically, has largely consisted of seeking linear relationships among vibration time series data, e.g., auto/cross-correlations, modal analysis, ARMA models, etc. This work considers how dynamical relationships may be viewed in terms of 'information flow' between different points on a structure. Information or interdependence metrics (e.g., time-delayed mutual information) are able to capture both linear and nonlinear aspects of the dynamics, including higher-order correlations. This work computes information-based metrics on a frame experiment where nonlinearity is introduced by the loosening of a bolt. Both linear and nonlinear measures of dynamical interdependence are then used to assess the degree of degradation to the joint. Results indicate clear differences in the way linear and nonlinear measures quantify the bolt loosening.

Paper Details

Date Published: 9 May 2005
PDF: 10 pages
Proc. SPIE 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV, (9 May 2005); doi: 10.1117/12.599110
Show Author Affiliations
M. D. Todd, Univ. of California/San Diego (United States)
J. M. Nichols, Naval Research Lab. (United States)
C. Olson, Univ. of California/San Diego (United States)
L. Overbey, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 5768:
Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV
Tribikram Kundu, Editor(s)

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