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Passive UHF RFID Tag as a Sensor for Crack Depths

机译:无源UHF RFID标签作为裂缝深度传感器

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摘要

The use of ultrahigh-frequency (UHF) radio frequency identification (RFID) passive tags for defect detection is a promising application in structural health monitoring. However, it is a challenging task while most related information to tag antenna design is not available as well it suffers from the interference effect on wireless measurements. In this paper, we investigated and developed a new technique for crack depth sensing by using a passive UHF RFID tag as a sensor which interrogated by the ThingMagic M6e platform. The wireless power transfer level and the frequency sweeping are used to match between tag impedance and metal induction effect. The distance between the tag and reader is adjusted at 30 cm which can achieve high quality factor. As a result, the tag backscatter signal becomes rich with maximum peak components. The proposed technique called power peaks feature extraction (PPFE) is used to detect the artificial crack depth on the surface of the stainless steel and ferromagnetic samples. Skewness is applied on PPFE to offer a direct approximation procedure for the crack depth. A linear relationship of skewness achieves high-accuracy result with a maximum estimation error of 0.1 mm for stainless steel sample, the technique is validated and compared with the frequency-domain result, and it achieves all most the same accuracy for the stainless steel sample.
机译:将超高频(UHF)射频识别(RFID)无源标签用于缺陷检测是在结构健康监测中有希望的应用。但是,这是一项具有挑战性的任务,而与标签天线设计有关的大多数相关信息也无法获得,并且会受到对无线测量的干扰影响。在本文中,我们研究并开发了一种新技术,该技术通过使用ThingMagic M6e平台询问的无源UHF RFID标签作为传感器来探测裂纹深度。无线功率传输级别和扫频用于在标签阻抗和金属感应效应之间进行匹配。标签和阅读器之间的距离调整为30厘米,可以实现高质量的因素。结果,标签反向散射信号变得富含最大的峰值分量。所提出的称为功率峰值特征提取(PPFE)的技术用于检测不锈钢和铁磁样品表面的人工裂纹深度。在PPFE上施加偏斜度以提供裂纹深度的直接近似程序。偏斜度的线性关系可实现高精度结果,对于不锈钢样品,最大估计误差为0.1 mm,该技术经过验证并与频域结果进行比较,并且对不锈钢样品实现了几乎所有相同的精度。

著录项

  • 来源
    《Sensors Journal, IEEE》 |2018年第23期|9867-9873|共7页
  • 作者单位

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China;

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China;

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China;

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Feature extraction; Radiofrequency identification; Monitoring; Antenna measurements; Steel;

    机译:特征提取射频识别监测天线测量钢;

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