首页|基于激光诱导击穿光谱的硅橡胶胶含量检测

基于激光诱导击穿光谱的硅橡胶胶含量检测

扫码查看
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.
Detection of Silicone Rubber Organic Content Using Laser-induced Breakdown Spectroscopy
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 con-tent 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 calibra-tion model for the organic content, and the prediction results had a goodness-of-fit of 0.9884.

silicone rubberorganic contentlaser-induced breakdown spectroscopymultiple linear regressionquantitative analysis

何永琪、邓禹、田亮、王希林、贾志东

展开 >

清华大学深圳国际研究生院深圳复杂滨海环境电力装备可靠性工程实验室,深圳518055

中国电力科学研究院有限公司,北京100192

西藏羊八井高海拔电气安全与电磁环境国家野外科学观测研究站,西藏851517

硅橡胶 胶含量 激光诱导击穿光谱 多元线性回归 定量分析

国家自然科学基金中国电力科学研究院有限公司实验室开放基金

51607101GY80-22-044

2024

高电压技术
中国电力科学研究院 中国电机工程学会

高电压技术

CSTPCD北大核心
影响因子:2.32
ISSN:1003-6520
年,卷(期):2024.50(4)
  • 30