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Fiber-Enhanced Raman Spectroscopic Monitoring of Fault Characteristic Gases Dissolved in Transformer Oil by Hollow-Core Photonic Crystal Fiber

机译:中空光子晶体光纤的纤维增强拉曼光谱监测变压器油中溶解的故障特征气体

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The accurate detection of trace fault characteristic gases dissolved in transformer oil is the key to achieve transformers' operation status diagnosis. In this paper, we designed and established a detection platform based on fiber enhanced Raman spectroscopy (FERS), which uses a 1 m long hollow-core photonic crystal fiber (HC-PCF) as the sample container, thus simultaneously increasing the effective interaction path length of light-analyte and improving the photon collection efficiency. The simultaneous Raman spectroscopy detection of 7 kinds of mixed fault characteristic gases, such as H2, CO, CO2, CH4, C2H2, C2H4 and C2H6, was achieved, and the characteristic Raman shift lines were respectively identified as 4156, 2143, 1388, 2914, 1977, 1344, 2954 cm-1. Taken H2 as an example, the measured Raman signals shows excellent relationship with the sample concentration. The experiment results prove that FERS provides a very promising method for highly selective and sensitive gas analysis in transformers' operation status diagnosis.
机译:准确检测溶解在变压器油中的微量故障特征气体是实现变压器运行状态诊断的关键。在本文中,我们设计并建立了基于光纤增强拉曼光谱(FERS)的检测平台,该平台使用1 m长的空心光子晶体光纤(HC-PCF)作为样品容器,从而同时增加了有效的相互作用路径长度的光分析物并提高光子收集效率。同时拉曼光谱检测7种混合故障特征气体,例如H 2 ,一氧化碳,一氧化碳 2 ,CH 4 , C 2 H 2 , C 2 H 4 和C 2 H 6 ,并获得特征拉曼位移线分别为4156,2143,1388,2914,1977,1344,2954 cm -1 。拍摄H 2 例如,测得的拉曼信号与样品浓度显示出极好的关系。实验结果证明,FERS为变压器运行状态诊断中的高选择性和高灵敏度气体分析提供了非常有前途的方法。

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