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A Novel “Smart Skin” Sensor for Chipless RFID-Based Structural Health Monitoring Applications

机译:基于ChipleS RFID的结构健康监测应用的新型“智能皮肤”传感器

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This article presents the concept of a chipless radio-frequency identification-based pervasive crack sensing scheme for structural health monitoring (SHM). This scheme includes the design of a novel "smart skin" sensor that can provide contiguous or nondiscretized detection of a structural deformation at any point on its surface. The proposed sensor can identify the growth and propagation of cracks in an area of a building structure. Smart skin sensor has a sensitive microwave structure made of cascaded novel split box resonators coupled to a coplanar waveguide (CPW)-based transmission line. This enables it to offer an uninterrupted crack detection along with the ability to detect multiple structural perturbations simultaneously. The proposed sensor can detect a crack width of as little as 0.5 mm having any orientation; namely, vertical, horizontal, and diagonal cracks. In addition to crack detection, the sensing tag can also provide a distinctive response for moisture ingress into the structure. The article illustrates the theory behind choosing the split box resonator in this sensing scheme followed by the sensor design. It also provides a thorough analysis of the sensor, based on the simulated and experimentally obtained results. Both of these results conform to each other very well, which lays the foundation to use machine learning as future work, in detecting random structural cracks. Such results incorporate many distinguishing features that enable an estimation of crack location and orientations using visual and machine-based classification approaches. The repeatability of the obtained results is also established through the experimental analysis.
机译:本文介绍了用于结构健康监测(SHM)的基于智者射频识别的普华抗裂纹感测方案的概念。该方案包括设计新颖的“智能皮肤”传感器,其可以在其表面上的任何点处提供连续的或不受欢迎的结构变形。所提出的传感器可以识别建筑物结构区域中裂缝的生长和传播。智能皮肤传感器具有敏感的微波结构,由级联新型分体式盒谐振器耦合到共面波导(CPW)的传输线。这使其能够提供不间断的裂缝检测,以及同时检测多个结构扰动的能力。所提出的传感器可以检测具有任何方向的0.5mm的裂缝宽度;即垂直,水平和对角线裂缝。除了裂纹检测之外,传感标签还可以提供对结构的湿气进入的独特响应。本文说明了在该感测方案中选择分割盒谐振器的理论,然后选择传感器设计。它还根据模拟和实验获得的结果提供对传感器的彻底分析。这两种结果非常符合彼此符合良好,这为使用机器学习作为未来工作的基础,在检测随机结构裂缝中。这样的结果包括许多区别的特征,其能够使用视觉和基于机器的分类方法估计裂缝位置和方向。通过实验分析也建立了所得结果的可重复性。

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