何永琪, 邓禹, 田亮, 王希林, 贾志东. 基于激光诱导击穿光谱的硅橡胶胶含量检测[J]. 高电压技术, 2024, 50(4): 1684-1693. DOI: 10.13336/j.1003-6520.hve.20230699
引用本文: 何永琪, 邓禹, 田亮, 王希林, 贾志东. 基于激光诱导击穿光谱的硅橡胶胶含量检测[J]. 高电压技术, 2024, 50(4): 1684-1693. DOI: 10.13336/j.1003-6520.hve.20230699
HE Yongqi, DENG Yu, TIAN Liang, WANG Xilin, JIA Zhidong. Detection of Silicone Rubber Organic Content Using Laser-induced Breakdown Spectroscopy[J]. High Voltage Engineering, 2024, 50(4): 1684-1693. DOI: 10.13336/j.1003-6520.hve.20230699
Citation: HE Yongqi, DENG Yu, TIAN Liang, WANG Xilin, JIA Zhidong. Detection of Silicone Rubber Organic Content Using Laser-induced Breakdown Spectroscopy[J]. High Voltage Engineering, 2024, 50(4): 1684-1693. DOI: 10.13336/j.1003-6520.hve.20230699

基于激光诱导击穿光谱的硅橡胶胶含量检测

Detection of Silicone Rubber Organic Content Using Laser-induced Breakdown Spectroscopy

  • 摘要: 硅橡胶胶含量不仅能够反映复合绝缘子的老化状态,而且可以反映其产品质量。测定胶含量对于复合绝缘子运维以及入网前的质量监测具有重要意义,但目前缺乏一种高效、准确的硅橡胶复合绝缘子胶含量现场原位检测手段。为此基于激光诱导击穿光谱技术,探究了硅橡胶胶含量的光谱表征手段。以11种不同配方的高温硫化硅橡胶样品为研究对象,分别建立了Al、Si原子谱线强度,等离子体温度以及Si离子原子谱线强度比与硅橡胶胶含量之间的线性定标模型,其中等离子体温度的拟合优度最高为0.9114,SiⅠ390.55 nm谱线强度的拟合优度最低为0.4857。最终,选取了AlⅠ394.40 nm、AlⅠ396.15 nm、SiⅠ390.55 nm谱线强度作为自变量,建立了胶含量的多元线性定标模型,预测结果拟合优度可达0.9884。

     

    Abstract: The organic content in silicone rubber reflects not only the aging state of composite insulators, but also the quality of their products. The determination of the organic content is important for the quality monitoring of composite insulators before operation and maintenance as well as before entering the network; however, there is a lack of an efficient and accurate in-situ means to detect the organic content of silicone rubber composite insulators. Consequently, we investigated the spectral characterization of organic content in silicone rubber based on laser-induced breakdown spectroscopy. The linear calibration models of Al and Si atomic intensities, plasma temperature and Si ion atomic intensity ratio with silicone rubber organic content were established for 11 different formulations of high-temperature vulcanized silicone rubber samples, where the best goodness-of-fit was 0.9114 for plasma temperature and 0.4857 for SiⅠ390.55 nm. Finally, AlⅠ394.40 nm, AlⅠ396.15 nm, and SiⅠ390.55 nm spectral line intensities were selected as independent variables to establish a multivariate linear calibration model for the organic content, and the prediction results had a goodness-of-fit of 0.9884.

     

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