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Correlation between dissolved gases and oil spectral response

机译:溶解气体与油光谱响应之间的相关性

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Spectroscopy is a powerful non-destructive technique that utilizes electromagnetic radiation interaction effect to determine the energy level and structure of atomic or molecular substance. Spectroscopy technique has been successfully used to quantify some power transformer condition monitoring parameters such as Furan and oil interfacial tension value. This paper investigates the feasibility of extending the applications of this technique to identify and quantify various dissolved gases in the transformer oil. In this context, several transformer oil samples with various gases concentrations have been prepared. Dissolved gases in each sample were first quantified using gas chromatography-mass spectrometry (GC/MS) laboratory measurement technique. The spectral response of each sample was then measured using UV-NIR and FTIR spectroscopy. Correlation between oil spectral response and the concentration of each gas is realized using adaptive neuro fuzzy inference system (ANFIS).
机译:光谱学是一种强大的非破坏性技术,利用电磁辐射相互作用效应来确定原子或分子物质的能量水平和结构。光谱技术已成功地用于量化一些电力变压器状态监测参数,如呋喃和油界面张力值。本文研究了扩展该技术应用的可行性,以识别和量化变压器油中的各种溶解气体。在这种情况下,已经制备了几种具有各种气体浓度的变压器油样品。使用气相色谱 - 质谱(GC / MS)实验室测量技术首先定量每个样品中的溶解气体。然后使用UV-NIR和FTIR光谱测量每个样品的光谱响应。使用自适应神经模糊推理系统(ANFIS)实现了油光谱响应与每种气体浓度的相关性。

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