中国电机工程学报2017，Vol.37Issue(19)：5812-5820,9.DOI:10.13334/j.0258-8013.pcsee.161199
基于紫外差分吸收光谱的痕量SO2气体定量检测
Quantum Detection of Trace Sulfur Dioxide Based on Ultraviolet Differential Optical Absorption Spectrometry
摘要
Abstract
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 Sym14 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.关键词
紫外差分吸收光谱/SO2/SF6/Sym14小波变换/特征波段/检测极限Key words
UV-DOAS/SO2/SF6/Syml4 wavelet transform/feature spectroscopy areas/detection limit分类
信息技术与安全科学引用本文复制引用
周红,肖淞,张晓星,李新,程政,崔兆仑..基于紫外差分吸收光谱的痕量SO2气体定量检测[J].中国电机工程学报,2017,37(19):5812-5820,9.基金项目
国家自然科学基金项目(51537009) （51537009）
湖北省重大科技创新计划资助(2014AAA015).Project Supported by National Natural Science Foundation of China (51537009) （2014AAA015）
Project supported by Key Technology R&D Innovation Program of Hubei Province (2014AAA015). （2014AAA015）
