摘要
SO_2是表征SF6绝缘电气设备内部绝缘状态的标志性气体,其准确的定量对判断绝缘设备内部故障类型及严重程度具有重要的意义。为此,该文搭建了紫外差分吸收光谱痕量SO_2气体检测系统,获取了基于Sym14小波分层处理的SO_2紫外差分吸收光谱,并在190~230及290~310nm两个特征波段对其进行快速傅里叶变换,根据变换得到的特征峰值对SO_2的浓度进行反演,得到两个波段的浓度反演曲线,并进一步探究了其检测极限。结果表明:在两个波段范围内痕量SO_2的快速傅里叶变换特征峰值与其浓度之间均存在良好的线性关系,其中190nm波段相对290nm波段具有更低的检测极限,在信噪比为3时,其检测极限可达到132.4nL/L。该研究结果为紫外差分吸收光谱技术应用于SF6特征分解组分的在线监测及SF6绝缘电气设备的故障诊断奠定了基础。
Sulfur dioxide （SO2） is a symbolic gas to distinguish the insulation status of sulfur hexafluoride （SF6）-insulated electrical equipment. Its accurate quantitative detection has a great importance to judge the internal fault type and severity of insulation equipment. In this study, a platform that based on ultraviolet differential optical absorption spectrometry （UV-DOAS） for the detection of trace SO2 was set up. Based on the platform, the Syml4 wavelet transform and the fast Fourier transform （FFT） were used to process the data of two feature spectroscopy areas, 190-230nm and 290-310nm. The result shows that, there is a good linear relationship between the characteristic peaks of FFT and the concentration of SO2. The detection limit in 190-210nm is 132.4nL/L at signal to noise ratio of 3. This contribution lays a foundation for online monitoring of the composition and content of SF6 decomposed gases as well as the fault diagnosis of SF6-insulated electrical equipment.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2017年第19期5812-5820,共9页
Proceedings of the CSEE
基金
国家自然科学基金项目(51537009)
湖北省重大科技创新计划资助(2014AAA015)~~
