电力系统保护与控制2024，Vol.52Issue(8)：158-166,9.DOI:10.19783/j.cnki.pspc.230997
基于拉曼光谱数据处理和谱峰识别的变压器油绝缘老化研究
Transformer oil insulation aging based on Raman spectral data processing and peak identification
摘要
Abstract
There are problems in that the Raman analysis of transformer oil is usually interfered with by noise and fluorescent background,and it is difficult to identify the position of the spectral peak.Thus this paper proposes an improved data processing and spectral peak recognition algorithm for the Raman analysis of transformer oil aging evaluation.An adaptive Savitzky-Golay filtering method is proposed,and adaptive window-size Raman spectral data is introduced for denoising.An improved polynomial fitting algorithm is used to remove the fluorescence background processing of the de-noised data to reduce its influence on the fitting results.Each data point is weighted according to the distance between the data point and the expected Raman signal,so as to achieve more accurate de-fluorescence background processing.The aging degree of transformer oil is identified by spectral peak recognition technology,and the spectral peak is identified by the Gaussian window discrimination method with two scales,and the authenticity of the suspected Raman spectral peak is judged by the local weighted signal-to-noise ratio(LW_SNR).Finally,the effectiveness of the proposed algorithm in transformer oil aging evaluation is proved by experiment.关键词
去噪/荧光背景/谱峰识别/局部窗口加权信噪比/变压器油老化评估Key words
denoising/fluorescence background/spectral peak identification/local weighted signal-to-noise ratio/transformer oil aging evaluation引用本文复制引用
刘庆珍,张溢,鄢仁武..基于拉曼光谱数据处理和谱峰识别的变压器油绝缘老化研究[J].电力系统保护与控制,2024,52(8):158-166,9.基金项目
This work is supported by the National Natural Science Foundation of China(No.51807030). 国家自然科学基金项目资助(51807030) （No.51807030）
