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Structural Control and Health Monitoring
Article . 2011 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
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ARX residuals in damage detection

Authors: Bernal, Dionisio Prospero; Zonta, Daniele; Pozzi, Matteo;

ARX residuals in damage detection

Abstract

SUMMARY The relationship between residuals obtained from Autoregressive with Exogenous Input (ARX) predictors is examined from the perspective of resolution in damage detection. It is shown that residuals from all ARX structures are filtered versions of those obtained when only inputs are used to compute the predictions, i.e. the output error (OE) residuals. Examination shows that the transfer matrix from the OE residuals to the equation error (EE) ones has repeated poles at the origin and transmission zeros and zero directions that coincide with the poles and eigenvectors of the input–output map. This result, together with an examination of the spectral distribution of the OE residuals suggest that these are likely more informative for damage detection than the EE ones. Results of a Monte Carlo study and tests on an aluminum beam, where damage is simulated by the addition of a small mass, are shown to support this contention. Copyright © 2011 John Wiley & Sons, Ltd.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Average
gold