Paper
18 June 2002 Utilizing the sequential probability ratio test for building joint monitoring
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David W. Allen, Hoon Sohn, Keith Worden, and Charles R. Farrar "Utilizing the sequential probability ratio test for building joint monitoring", Proc. SPIE 4704, Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Civil Infrastructures, (18 June 2002); https://doi.org/10.1117/12.470707
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Cited by 9 scholarly publications.
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KEYWORDS
Autoregressive models

Statistical analysis

Statistical modeling

Statistical inference

Data modeling

Error analysis

Aluminum

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