DocumentCode :
1856094
Title :
The research on simultaneous detection of dissolved gases in transformer oil using Raman spectroscopy
Author :
Wei Qi ; Weigen Chen ; Youhui Xiong
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
fYear :
2015
fDate :
7-10 June 2015
Firstpage :
154
Lastpage :
157
Abstract :
Incipient transformer faults can be effectively diagnosed by on-line monitoring of dissolved gases in transformer oil. Raman spectroscopy can simultaneously detect the type and concentration of seven kinds of characteristic dissolved gases in oil excited by a laser at one wavelength. It is a promising technique without facing the issues of aging and calibration compared to traditional gas chromatography techniques. In this paper, the principle of Raman spectroscopy is briefly introduced. The experimental platform based on the confocal micro Raman system is explained, the detection method of Raman spectroscopy for dissolved gases in transformer oil is determined and the Raman detection of seven fault gases (CO, CO2, CH4, C2H2, C2H4, C2H6 and H2) is fundamentally realized. On this basis, characteristic Raman spectra are chosen and the corresponding molecular vibrational modes are analyzed simultaneously. To lower detection limits, a surface-enhanced Raman scattering (SERS) substrate is introduced since near-field coupling effects between adjacent Au nanoparticles decorated on SiO2 substrate can greatly increase local electromagnetic field. The simulation results of electric field distribution are presented, all of which lay a good foundation for online monitoring of dissolved gases in transformer oil.
Keywords :
Raman spectra; electric fields; electromagnetic fields; fault diagnosis; nanoparticles; transformer oil; Raman spectroscopy; SERS substrate; adjacent nanoparticle; confocal micro Raman system; dissolved gas detection; dissolved gases on-line monitoring; electric field distribution; electromagnetic field; incipient transformer fault diagnosis; molecular vibrational mode; near-field coupling effect; surface-enhanced Raman scattering substrate; transformer oil; Atomic beams; Fourier transforms; Gases; Gold; Oil insulation; Spectroscopy; Surface waves; Raman spectroscopy; dissolved gas in oil; near-field coupling effect; transformer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Insulation Conference (EIC), 2015 IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4799-7352-1
Type :
conf
DOI :
10.1109/ICACACT.2014.7223606
Filename :
7223606
Link To Document :
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