Qualitative and Quantitative Determination of 17 Gases from SF6 Electrical Equipments by Dual-Channel Gas Chromatography-Pulsed Discharge Helium Ionization Detector
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Qualitative and Quantitative Determination of 17 Gases from SF6 Electrical Equipments by Dual-Channel Gas Chromatography-Pulsed Discharge Helium Ionization Detector
Acta Scientiarum Naturalium Universitatis SunYatseniVol. 54, Issue 3, Pages: 74-79(2015)
作者机构:
1. 广东电网公司电力科学研究院环保所,广东,广州,510275
2.
3. 中山大学生命科学学院,广东,广州,510275
作者简介:
基金信息:
DOI:
CLC:
Published:2015,
Published Online:25 June 2015,
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ZHOU Yongyan, XIE Di, TANG Nian, et al. Qualitative and Quantitative Determination of 17 Gases from SF6 Electrical Equipments by Dual-Channel Gas Chromatography-Pulsed Discharge Helium Ionization Detector. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 54(3):74-79(2015)
DOI:
ZHOU Yongyan, XIE Di, TANG Nian, et al. Qualitative and Quantitative Determination of 17 Gases from SF6 Electrical Equipments by Dual-Channel Gas Chromatography-Pulsed Discharge Helium Ionization Detector. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 54(3):74-79(2015)DOI:
Qualitative and Quantitative Determination of 17 Gases from SF6 Electrical Equipments by Dual-Channel Gas Chromatography-Pulsed Discharge Helium Ionization Detector
The qualitative and quantitative determination of gases released from SF6 electrical equipments plays an important role in diagnosing the failure of SF6 electric equipments. In this work
17 gases were determined based on a dualchannel gas chromatography (GC) equipped with a helium ionization detector in GIS (Gas Insulated Switchgear)
including CO
CF
4
CH
4
CO
2
C
2
F
6
C
2
H
2
COS
C
2
H
4
C
2
H
8
H
2
S
SO
2
F
2
C
3
F
8
C
3
H
6
C
3
H
8
CS
2
SO
2
and S
2
OF
10
. Gases were transported into channel A and channel B of the instrument. Channel A was composed of a 05 nm column and a Poropak Q column while channel B was made up of HP-5 capillary chromatographic column. As a result
target compounds could be separated completely. Moreover
the limit of detection (LOD) of these gases was approximate 10
-8
and the relative standard deviation (RSD) was less than 7%. Therefore
the proposed method was sensitive
precise and was finally applied to determine 15 gases in real samples from GIS. SO
2
and SO
2
F
2
could be detected in the GIS
which indicated the spark discharge inside the equipment.