Dynamic Time Warping Temperature Compensation for Guided Wave Structural Health Monitoring
Dynamic Time Warping Temperature Compensation for Guided Wave Structural Health Monitoring
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DOI：
10.1109/tuffc.2018.2813278
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发表时间：
2018-05-01
影响因子：
3.6
通讯作者：
Harley, Joel B.
中科院分区：
文献类型：
--
作者：
Douglass, Alexander C. S.;Harley, Joel B.
导波结构健康监测在大型结构区域的远程监测中得到了广泛的研究。为了检测、定位和表征损伤，导波方法通常将数据与基线信号进行比较。然而，环境变化造成基线和收集的测量值之间的巨大差异。这些变化隐藏了损伤特征并导致错误检测。温度补偿算法，如基线信号拉伸和尺度变换已被用于最佳地重新调整数据到基线。虽然这些方法在某些条件下是有效的，但在存在大的温度变化、长的传播距离和高频率的情况下，它们的性能恶化。在本文中，我们使用动态时间弯曲，以更好地对齐导波数据，并克服这些错误。当与基于拉伸的方法相比，我们表明，动态时间规整是更强大的上述错误，更准确地检测到弱超声签名的损伤。
Guided wave structural health monitoring is widely researched for remotely inspecting large structural areas. To detect, locate, and characterize damage, guided wave methods often compare data to a baseline signal. Yet, environmental variations create large differences between the baseline and the collected measurements. These variations hide damage signatures and cause false detection. Temperature compensation algorithms, such as baseline signal stretch and the scale transform have been used to optimally realign data to a baseline. While these methods are effective in some conditions, their performance deteriorates in the presence of large temperature variations, long propagation distances, and high frequencies. In this paper, we use dynamic time warping to better align guided wave data and to overcome these errors. When compared with stretch-based methods, we show that the dynamic time warping is more robust to the above-mentioned errors and more accurately detects damage with weak ultrasonic signatures.