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Vibration based damage detection using large array sensors and spatial filters

机译:使用大型阵列传感器和空间滤波器进行基于振动的损伤检测

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摘要

In this paper, a novel approach for vibration based damage detection is proposed. The approach relies on the use of a large network of sensors (possibly hundreds of them) to which a programmable linear combiner is attached. The linear combiner is programmed to work as a modal filter. The frequency content of the output of the modal filter is proposed as feature for damage detection. It is shown that if a local damage is present, spurious peaks appear in the FRF of the modal filter whereas if temperature changes are considered, the FRF of the modal filter is shifted but its shape remains unchanged. The approach is interesting because of the ability to differentiate between local damage and global environmental changes to a structure. Issues about the practical implementation of the method are discussed.
机译:本文提出了一种基于振动的损伤检测新方法。该方法依赖于使用大型传感器网络(可能有数百个),并连接有可编程线性组合器。线性组合器被编程为用作模式滤波器。提出了模态滤波器输出的频率内容作为损坏检测的特征。结果表明,如果存在局部损坏,则在模态滤波器的FRF中会出现杂散峰,而如果考虑温度变化,则模态滤波器的FRF会发生偏移,但其形状保持不变。该方法之所以有趣是因为能够区分结构的局部损坏和全局环境变化。讨论了有关该方法的实际实现的问题。

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