基于集成增强KNN的油纸绝缘原始拉曼光谱老化状态判别

Author:

Chen Xingang 陈新岗,Fan Yijie 范益杰,Ma Zhipeng 马志鹏,Tan Shiyao 谭世耀,Li Ningyi 李宁一,Song Xin 宋欣,Huang Yuyang 黄宇杨,Zhang Jinjing 张金京,Zhang Wenxuan 张文轩

Publisher

Shanghai Institute of Optics and Fine Mechanics

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Reference28 articles.

1. Identification of the aging stage of transformer oil-paper insulation via Raman spectroscopic characteristics;W G Chen;IEEE Transactions on Dielectrics and Electrical Insulation,2020

2. Research on nonlinear characteristics for frequency domain dielectric response of transformer oil-paper insulation;S J Lei;Measurement,2022

3. 基于多参量的变压器油中特征气体拉曼光谱分析;陈新岗;光谱学与光谱分析,2020

4. Quantitative analysis of dissolved gases in transformer oil based on multi-parameter;X G Chen;Spectroscopy and Spectral Analysis,2020

5. Effect of oil-paper-pressboard mass ratio on furfural content in transformer oil;D W Feng;IEEE Transactions on Dielectrics and Electrical Insulation,2019

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