Literature DB >> 25459612

Fourier transform infrared spectroscopy quantitative analysis of SF6 partial discharge decomposition components.

Xiaoxing Zhang1, Heng Liu1, Jiangbo Ren2, Jian Li1, Xin Li1.   

Abstract

Gas-insulated switchgear (GIS) internal SF6 gas produces specific decomposition components under partial discharge (PD). By detecting these characteristic decomposition components, such information as the type and level of GIS internal insulation deterioration can be obtained effectively, and the status of GIS internal insulation can be evaluated. SF6 was selected as the background gas for Fourier transform infrared spectroscopy (FTIR) detection in this study. SOF2, SO2F2, SO2, and CO were selected as the characteristic decomposition components for system analysis. The standard infrared absorption spectroscopy of the four characteristic components was measured, the optimal absorption peaks were recorded and the corresponding absorption coefficient was calculated. Quantitative detection experiments on the four characteristic components were conducted. The volume fraction variation trend of four characteristic components at different PD time were analyzed. And under five different PD quantity, the quantitative relationships among gas production rate, PD time, and PD quantity were studied.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  Decomposition components; Fourier transform infrared spectroscopy; Partial discharge; Quantitative analysis; SF(6)

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Year:  2014        PMID: 25459612     DOI: 10.1016/j.saa.2014.09.109

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  2 in total

1.  Application of Excimer Lamp in Quantitative Detection of SF6 Decomposition Component SO2.

Authors:  Tunan Chen; Kang Li; Fengxiang Ma; Xinjie Qiu; Zongjia Qiu; Zhenghai Liao; Guoqiang Zhang
Journal:  Sensors (Basel)       Date:  2021-12-07       Impact factor: 3.576

2.  Investigation of Hexagonal Mesoporous Silica-Supported Composites for Trace Moisture Adsorption.

Authors:  Li Li; Nian Tang; Yaxue Wang; Wanglai Cen; Jie Liu; Yongyan Zhou
Journal:  Nanoscale Res Lett       Date:  2015-11-17       Impact factor: 4.703

  2 in total

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