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Proceedings Paper

An examination of the ARX as a residual generator for damage detection
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Paper Abstract

Residuals that capture the difference between anticipated behavior and actual observations are often used to identify damage. Wanting to control the influence of unmeasured disturbances and noise in residuals, it is common to generate reference signals using feedback from measured outputs. Since there is much flexibility in the gains a wide range of models that react differently to changes are possible. This paper examines two questions: 1) how damage residuals generated by different closed loop models relate to each other and 2) how to rank the expected efficiency of alternative models. On the first question examination shows that the residuals from any model can be viewed as sums of filtered open loop residuals where the filter coefficients depend on the model structure but not on the damage. On the second item a general procedure based on Bayesian decision-making is proposed to quantify the economical benefit in adopting a specific autoregressive model.

Paper Details

Date Published: 10 April 2009
PDF: 12 pages
Proc. SPIE 7295, Health Monitoring of Structural and Biological Systems 2009, 729521 (10 April 2009); doi: 10.1117/12.816211
Show Author Affiliations
Dionisio Bernal, Northeastern Univ. (United States)
Daniele Zonta, Univ. degli Studi di Trento (Italy)
Matteo Pozzi, Univ. degli Studi di Trento (Italy)


Published in SPIE Proceedings Vol. 7295:
Health Monitoring of Structural and Biological Systems 2009
Tribikram Kundu, Editor(s)

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