Quantum Detection of Trace Sulfur Dioxide Based on Ultraviolet Differential Optical Absorption Spectrometry

被引：0
|
作者：
Zhou H. [1 ]
Xiao S. [1 ]
Zhang X. [1 ]
Li X. [2 ]
Cheng Z. [3 ]
Cui Z. [1 ]
机构：
[1] School of Electrical Engineering, Wuhan University, Wuhan, 430072, Hubei Province
[2] State Grid Hunan Maintenance Company, Changsha, 410004, Hunan Province
[3] State Grid Chongqing Yongchuan Power Supply Company, Yongchuan District, Chongqing
来源：
| 1600年 / Chinese Society for Electrical Engineering卷 / 37期
基金：
中国国家自然科学基金;
关键词：
Detection limit; Feature spectroscopy areas; SF[!sub]6[!/sub; SO[!sub]2[!/sub; Sym14 wavelet transform; UV-DOAS;
D O I：
10.13334/j.0258-8013.pcsee.161199
中图分类号：
学科分类号：
摘要：
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. © 2017 Chin. Soc. for Elec. Eng.
引用
收藏
页码：5812 / 5820
页数：8
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