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

M. D. Todd; J. M. Nichols; C. Olson; L. Overbey

doi:10.1117/12.599110

9 May 2005 Detecting generalized dynamic inter-relationship in a frame experiment with measures of information flow and interdependence

M. D. Todd, J. M. Nichols, C. Olson, L. Overbey

Author Affiliations +

Proceedings Volume 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV; (2005) https://doi.org/10.1117/12.599110
Event: Nondestructive Evaluation for Health Monitoring and Diagnostics, 2005, San Diego, CA, United States

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.

Citation Download Citation

M. D. Todd, J. M. Nichols, C. Olson, and L. Overbey "Detecting generalized dynamic inter-relationship in a frame experiment with measures of information flow and interdependence", Proc. SPIE 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV, (9 May 2005); https://doi.org/10.1117/12.599110

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