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Data fusion for compensation of temperature variations in Lamb-wave based SHM systems

机译:数据融合以补偿基于Lamb-wave的SHM系统中的温度变化

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Temperature variations affect Lamb wave propagation and therefore in this way they can severely limit application of baseline signals in SHM systems. Various techniques are proposed in the paper to solve this problem. New method based on an interpretation of multiple signals acquired in distinct points of the structure is introduced and compared with other widely used approaches. Data fusion is used to merge a number of methods into one with a substantially increased efficiency.
机译:温度变化会影响Lamb波的传播,因此,这种变化会严重限制基线信号在SHM系统中的应用。本文提出了各种技术来解决这个问题。介绍了一种基于对在结构的不同点获取的多个信号的解释的新方法,并将其与其他广泛使用的方法进行了比较。数据融合用于将多种方法合并为一种方法,从而大大提高效率。

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