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Proceedings Paper

Utilizing the sequential probability ratio test for building joint monitoring
Author(s): David W. Allen; Hoon Sohn; Keith Worden; Charles R. Farrar
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Paper Abstract

In this application of the statistical pattern recognition paradigm, a prediction model of a chosen feature is developed from the time domain response of a baseline structure. After the model is developed, subsequent feature sets are tested against the model to determine if a change in the feature has occurred. In the proposed statistical inference for damage identification there are two basic hypotheses; (1) the model can predict the feature, in which case the structure is undamaged or (2) the model can not accurately predict the feature, suggesting that the structure is damaged. The Sequential Probability Ratio Test (SPRT) develops a statistical method that quickly arrives at a decision between these two hypotheses and is applicable to continuous monitoring. In the original formulation of the SPRT algorithm, the feature is assumed to be Gaussian and thresholds are set accordingly. It is likely, however, that the feature used for damage identification is sensitive to the tails of the distribution and that the tails may not necessarily be governed by Gaussian characteristics. By modeling the tails using the technique of Extreme Value Statistics, the hypothesis decision thresholds for the SPRT algorithm may be set avoiding the normality assumption. The SPRT algorithm is utilized to decide if the test structure is undamaged or damaged and which joint is exhibiting the change.

Paper Details

Date Published: 18 June 2002
PDF: 11 pages
Proc. SPIE 4704, Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Civil Infrastructures, (18 June 2002); doi: 10.1117/12.470707
Show Author Affiliations
David W. Allen, Los Alamos National Lab. (United States)
Hoon Sohn, Los Alamos National Lab. (United States)
Keith Worden, Univ. of Sheffield (United Kingdom)
Charles R. Farrar, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 4704:
Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Civil Infrastructures
Andrew L. Gyekenyesi; Steven M. Shepard; Dryver R. Huston; A. Emin Aktan; Peter J. Shull, Editor(s)

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