Accurate monitoring of insulation aging of oil-paper insulation power equipment such as oil-immersed transformers is a key and difficult point in the field of high voltage research. In this paper, a method based on Raman spectroscopy to diagnose the aging degree of oil-paper insulation is discussed. Raman detections of the samples were carried out on a self-built Raman detection platform. The partial least squares method was used to extract and analyze the spectral features. The aging time of the sample was used to supervise the feature extraction of oil-paper insulation Raman data, and the intrinsic mathematical relationship between the Raman features of oil-paper insulation and the aging was excavated. Finally, a quantitative aging diagnostic model based on Raman spectral features of oil-paper insulation to predict its aging state was built with the assistance of the support vector regression method. The results of aging time prediction for 30 test samples show that the mean square error is 0.0123 and the square of correlation coefficient is 0.987. The proposed method provides a new idea for Raman aging diagnosis of oil-paper insulation.

中文翻译：

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基于拉曼光谱的油纸绝缘老化状态定量预测

准确监测油浸式变压器等油纸绝缘电力设备的绝缘老化是高压研究领域的关键和难点。本文讨论了一种基于拉曼光谱的诊断油纸绝缘材料老化程度的方法。在自建的拉曼检测平台上进行样品的拉曼检测。偏最小二乘方法用于提取和分析光谱特征。利用样品的老化时间来监督油纸绝缘拉曼数据的特征提取，并挖掘出油纸绝缘拉曼特征与老化之间的内在数学关系。最后，借助支持向量回归方法，建立了基于油纸绝缘拉曼光谱特征来预测其老化状态的定量老化诊断模型。30个试样的老化时间预测结果表明，均方误差为0.0123，相关系数的平方为0.987。该方法为油纸绝缘拉曼老化诊断提供了新思路。