用于变形监测的聚合物光纤OTDR特征

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Wenbin Hu , Jiangpeng Zhou , Siyu Liang , Daniele Tosi , Minghong Yang
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引用次数: 0

摘要

基于聚合物光纤(POF)的光时域反射法(OTDR)在严重变形的结构健康监测(SHM)中显示出巨大的潜力。为了提高基于pof的OTDR识别能力,从OTDR轨迹中提取信息匹配变形,重点研究了三个主要变形事件,提取了OTDR轨迹的典型特征。对全转/半转/四分之一转弯曲、轴向拉伸和侧向应力进行了理论和实验研究。基于每种形式的可重复测量结果,提出了一种将变形形式和严重程度可视化到一帧中的损失-峰值映射方法。轴向变形严重程度指示器作为变形状态准定量评价的功能标识。该制图方法和指标将有效提高pof辅助SHM技术在现场应用的准确性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OTDR signature of polymer optical fiber for deformation monitoring
Polymer optical fiber (POF) based Optical time-domain reflectometry (OTDR)has shown great potential for structure health monitoring (SHM) on severe deformation. To improve the recognition ability of POF-based OTDR and extract the info mated deformation from the OTDR trace, three main deformation events are focused to extract the typical signatures of OTDR trace. The bending with full/half/quarter turn, axial tension and lateral stress are theoretically and experimentally investigated. Based on the repeatable measured results of each form, a mapping method of loss versus peak is proposed by visualizing deformation form and severity into one frame. Deformation Severity Indicator along axes act a functional identifier of quasi-quantitative evaluation of the deformation status. This mapping method and indicator will effectively improve the accuracy and feasibility of the POF-assisted SHM technology for field applications.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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