SF6气体作为绝缘介质大量应用于气体绝缘组合电器(GIS)中。 GIS绝缘缺陷引起的局部放电会导致SF6气体发生分解。 分析SF6气体及其主要衍生物是检测GIS设备局部放电的一种重要方法。 研究表明, SO2是一种典型且稳定的局部放电衍生物, 其变化规律可以用于表征GIS的绝缘状况。 此外, 紫外光谱检测系统具有价格低廉、 不受现场电磁及振动干扰等优点。 本文通过紫外光谱定性、 定量分析SF6气体稳定的衍生物SO2, 达到对GIS局部放电的快速检测。 一阶导数和S-G滤波被用于光谱信息的去噪和平滑;以模拟放电实验验证特征选取合理性;主成分回归对SO2浓度做定量分析;用SO2浓度对放电时间做模糊判断。 通过选择合适的波段(295～305 nm), 紫外光谱能够很好的从SF6气体复杂的衍生物中识别出SO2。 首先回顾了SF6气体局部放电下的分解机理, 然后通过模拟局部放电实验验证了紫外光谱用于GIS局部放电快速检测的合理性, 最终做到了对GIS局部放电的快速检测和放电时间的模糊判断。

By detecting the stable by-products of SF6 through ultraviolet spectroscopy, the present paper achieved the rapid detection of the GIS partial discharge fault. First derivative and the S-G filter were used for the spectral denoising and smoothing. The discharge experiment was used for validating feature selection. Principal component regression was used for the analysis of the concentration of SO2. The concentration of SO2 was used for fuzzy judge. By selecting the appropriate wavelength range (295～305 nm), ultraviolet spectrum can identify SO2 from the complex by-products of SF6. In this paper, firstly, the author reviewed the decomposition mechanism of SF6 under partial discharge, and then verified the rationality of detecting partial discharge by UV, and ultimately achieved the rapid detection of GIS partial discharge and fuzzy judgment of discharge time.