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Spectral Reconstruction and Bayesian Model Framework for Characterization of Long Period Fiber Gratings
IEEE Instrumentation & Measurement Magazine ( IF 2.1 ) Pub Date : 2021-07-20 , DOI: 10.1109/mim.2021.9491007
Bernardo Dias , Paulo Santos , Pedro A. S. Jorge , Jose M. M. M. de Almeida , Luis C. C. Coelho

The use of Long-Period Fiber Gratings (LPFGs) as sensors has been thoroughly researched, given the multitude of parameters these structures can monitor by themselves (such as temperature, strain, curvature) and the potential for combination with other materials that allow for monitoring of parameters such as humidity, pH and chemical concentration, at a low price and with easy fabrication processes available. This interest has increased the need for the development of interrogation systems for these sensors, particularly in the C-band spectral region. Given the cost and physical limitations (such as size and weight) of traditional solutions like Optical Spectrum Analyzers (OSA), the development of low-cost approaches for LPFG spectral analysis became an important topic that needed further development. The development of a simple curve fitting routine for LPFG spectra is reported in this article, along with a framework for automatic detection of certain physical phenomena such as corrosion and the presence of chemical species, among others.

中文翻译:

用于表征长周期光纤光栅的光谱重建和贝叶斯模型框架

考虑到这些结构可以自行监测的众多参数(例如温度、应变、曲率)以及与允许监测的其他材料组合的潜力,已经对使用长周期光纤光栅 (LPFG) 作为传感器进行了彻底的研究参数,如湿度、pH 值和化学浓度,价格低廉,制造工艺简单。这种兴趣增加了为这些传感器开发询问系统的需求,特别是在 C 波段光谱区域。鉴于光谱分析仪 (OSA) 等传统解决方案的成本和物理限制(例如尺寸和重量),开发低成本的 LPFG 光谱分析方法成为需要进一步发展的重要课题。
更新日期:2021-07-23
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