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首页> 外文会议>International conference on sustainable development of critical infrastructure 2014 >Damage detection from continuous long-term static response using Cointegration and MEWMA Control chart
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Damage detection from continuous long-term static response using Cointegration and MEWMA Control chart

机译：使用协整和MEWMA控制图从连续长期静态响应中进行损坏检测

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摘要

The operational and environmental variability (OEV) will mask subtle changes caused by damage for in-situ civil infrastructures, thus it is one of the obstacles that significantly hinder the application of structure health monitoring. An approach based on cointegration and control chart technique is proposed for identifying damage from continuous long-term static response with the presence of varying OEV. Cointegration theory is used as a data normalization technique to remove the stochastic common trend, which is induced by OEV, in the measured static response observed from several locations on the structure. The multivariate exponentially weighted moving average control chart is employed as a statistic metric to detect the presence of damage and then the drop-one-out strategy is implemented to localize damage. The proposed method is validated by a numerical simulation and monitoring response from a large-span bridge. Results demonstrate that this method can successfully identify damage despite of the operational and environmental variations.
机译：操作和环境可变性（OEV）将掩盖因原位民用基础设施损坏而引起的细微变化，因此这是严重阻碍结构健康监测应用的障碍之一。提出了一种基于协整和控制图技术的方法，该方法用于根据存在不同OEV的连续长期静态响应来识别损伤。协整理论被用作数据归一化技术，以消除在结构上几个位置观测到的静态响应中由OEV引起的随机共同趋势。采用多元指数加权移动平均控制图作为统计指标，以检测损坏的存在，然后实施落单策略来定位损坏。通过数值模拟和监测大跨度桥梁的响应，验证了该方法的有效性。结果表明，尽管操作和环境存在差异，该方法仍可以成功识别损坏。

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