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基于经验模态分解算法的用于同时测量折射率和温度的光纤法珀传感器

Optical Fiber FP Sensor for Simultaneous Measurement of Refractive Index and Temperature Based on the Empirical Mode Decomposition Algorithm.

作者信息

Vargas-Rodriguez Everardo, Guzman-Chavez Ana Dinora, Baeza-Serrato Roberto, Garcia-Ramirez Mario Alberto

机构信息

Departamento de Estudios Multidisciplinarios, División de Ingenierías, Campus Irapuato-Salamanca, Universidad de Guanajuato, Av. Universidad s/n, Col. Yacatitas, Yuriria, Guanajuato C.P. 38940, Mexico.

Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Blvd. Marcelino Garcia Barragan 1421, Guadalajara, Jalisco C.P. 44430, Mexico.

出版信息

Sensors (Basel). 2020 Jan 24;20(3):664. doi: 10.3390/s20030664.

Abstract

In this work, a dual refractive index and temperature sensor based on an interferometric system and on the empirical mode decomposition (EMD) algorithm is presented. Here, it is shown that the EMD provides a comprehensive way to analyze and decompose complex reflection spectra produced by an interferometric filter build at the tip of an optical fiber. By applying the EMD algorithm, the spectrum can be decomposed into a set of intrinsic mode functions (IMF) from which the temperature and the refractive index can be easily extracted. Moreover, the proposed methodology provides a detailed insight of the behavior of this type of interferometric sensors and allows widening of the dynamic measurement ranges of both variables. Here, for proof of principle purposes, a filter based on a stack of three layers (two of them were thermo-sensitive) was fabricated. Finally, it is shown that the proposed methodology can decompose the experimental measured spectra and to determine the refractive index and the temperature, supporting the mathematical model.

摘要

在这项工作中,提出了一种基于干涉系统和经验模态分解(EMD)算法的双折射率和温度传感器。在此表明,EMD提供了一种全面的方法来分析和分解由光纤尖端构建的干涉滤波器产生的复杂反射光谱。通过应用EMD算法,光谱可以分解为一组本征模态函数(IMF),从中可以轻松提取温度和折射率。此外,所提出的方法详细洞察了这类干涉传感器的行为,并扩大了两个变量的动态测量范围。在此,为了原理验证的目的,制作了一个基于三层堆叠(其中两层是热敏的)的滤波器。最后表明,所提出的方法可以分解实验测量光谱并确定折射率和温度,支持数学模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd94/7038378/657e0cc93533/sensors-20-00664-g001.jpg

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