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Efficient Acquisition of Baseline Signals in Ultrasonic Guided Wave Structural Health Monitoring (SHM)

机译:超声波引导波结构健康监测(SHM)中高效采集基线信号

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Temperature compensation methods - Optimal Baseline Selection (OBS) and Optimal Stretch Method (OSM) - have been succesfully used to suppress temperature effects in ultrasonic guided wave signals. However, the methods require a set of baseline signals recorded on an undamaged structure at a range of temperatures before SHM can be realised. This is difficult to achieve on structures exposed to real environmental conditions when there is limited control or knowledge of temperature variations. Therefore, a novel algorithm has been designed that continuously builds a set of baseline signals well separated in the temperature domain without having any information on the structure operating conditions. The performance when differentiating between damage and temperature effects in the signals based on sensor array images and baseline set growth parameters have been tested with data from SHM experiments. This makes the acquisition of baseline signals an evolutionary process which can be incorporated into SHM.
机译:温度补偿方法 - 最佳基线选择(OB)和最佳拉伸方法(OSM) - 已成功用于抑制超声波引导波信号中的温度效应。然而,该方法需要在可以实现SHM之前的一系列温度下记录在未损坏的结构上的一组基线信号。当控制或温度变化的知识有限时,难以实现暴露于真实环境条件的结构。因此,设计了一种新的算法,其连续构建在温度域中分离的一组基线信号而不具有关于结构操作条件的任何信息。根据SHM实验的数据测试了在基于传感器阵列图像和基线集生长参数的信号中造成损坏和温度效应之间的性能。这使得基线发出基线信号是可以将其纳入SHM的进化过程。

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