A Sequential Statistical Time Series Framework for Vibration Based Structural Health Monitoring

被引：0
|
作者：
Kopsaftopoulos, F. P. [1 ]
Fassois, S. D. [2 ]
机构：
[1] Stanford Univ, Dept Aeronaut & Astronaut, Struct & Composites Lab SACL, Stanford, CA 94305 USA
[2] Univ Patras, Dept Mech & Aeronaut Engn, SMSA Lab, GR-26500 Patras, Greece
来源：
STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 | 2013年
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The goal of this study is the introduction and experimental assessment of a Sequential Probability Ratio Test (SPRT) framework for vibration based Structural Health Monitoring (SHM). This employs the residual sequences obtained using a single stochastic time series model of the healthy structure and is based on a combination of binary and multihypothesis versions of the SPRT. The framework's performance is predetermined via the use of the Operating Characteristic (OC) and Average Sample Number (ASN) functions in combination with baseline experiments, while it requires on average a minimum number of samples in order to reach a decision compared to Fixed Sample Size (FSS) most powerful tests. The effectiveness of the proposed approach is validated and experimentally assessed via its application to a lightweight aluminum truss structure.
引用
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页码：2669 / +
页数：2
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