Suppr超能文献

基于超弱光纤布拉格光栅,利用时频分析在大规模传感器上进行点事件检测。

Spot event detection along a large-scale sensor based on ultra-weak fiber Bragg gratings using time-frequency analysis.

作者信息

Ricchiuti Amelia Lavinia, Sales Salvador

出版信息

Appl Opt. 2016 Feb 10;55(5):1054-60. doi: 10.1364/AO.55.001054.

Abstract

A simple scheme for interrogating a 5 m long photonics device and its potential applications to quasi-distributed fiber sensing is proposed. The sensor consists of an array of 500 identical, very weak fiber Bragg gratings (FBGs). The gratings are 9 mm long and have been serially written in cascade along a single optical fiber. The measurement system is based on a combination of optical time domain reflectometry and frequency scanning of the interrogating pulse. The time-frequency analysis is performed by launching an optical pulse into the sensor and retrieving and analyzing the back-reflected signal. The measurement of the temperature, length, and position of spot events along the sensors is demonstrated with good accuracy. As both spatial and temperature resolution of the method depend on the input pulse duration, the system performance can be controlled and optimized by properly choosing the temporal duration of the interrogating pulse. A spatial resolution of 9 mm (ultimately dictated by one grating length) has been obtained with an 80 ps optical pulse, while a temperature resolution of less than 0.42 K has been demonstrated using a 500 ps incident pulse. The sensor proposed proves to be simple, robust, and polarization insensitive and alleviates the instrumentation complexity for distributed sensing applications.

摘要

提出了一种用于检测5米长光子器件的简单方案及其在准分布式光纤传感中的潜在应用。该传感器由500个相同的、非常弱的光纤布拉格光栅(FBG)阵列组成。这些光栅长9毫米,已沿着单根光纤串联级联写入。测量系统基于光时域反射仪和检测脉冲频率扫描的组合。通过向传感器发射光脉冲并检索和分析后向反射信号来进行时频分析。演示了对传感器沿线点事件的温度、长度和位置的精确测量。由于该方法的空间分辨率和温度分辨率均取决于输入脉冲持续时间,因此可以通过适当选择检测脉冲的时间持续时间来控制和优化系统性能。使用80皮秒的光脉冲获得了9毫米的空间分辨率(最终由一个光栅长度决定),而使用500皮秒的入射脉冲证明了温度分辨率小于0.42开尔文。所提出的传感器被证明是简单、坚固且对偏振不敏感的,并且减轻了分布式传感应用中的仪器复杂性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验