基于紫外差分吸收光谱法的SF<sub>6</sub>分解组分CS<sub>2</sub>定量检测

doi:10.19595/j.cnki.1000-6753.tces.171090

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Abstract SF₆ has been widely used as insulating gas in electrical insulation equipment. The research of its decomposition components is an important content for the equipment fault diagnosis and online monitoring. CS₂ is one of the common SF₆ decomposition components under the solid insulation defects. CS₂ has absorption spectra in the UV band of 190~210nm. Based on the ultraviolet differential absorption spectroscopy (UV-DOAS), the UV spectrum detection platform was established. Firstly, the UV absorption spectrum of CS₂ was obtained by experiments. Baseline deduction and wavelet processing methods were used to extract the effective signal in the absorption spectrum, which eliminated high and low frequency noise in the spectrum. Then, the spectral information is converted to the frequency domain by fast fourier transformation (FFT), and the linear relationship between the gas concentration and the spectral frequency domain eigenvalue was gained. The detection method of CS₂ shows good linearity (R₂=0.999 6) in the range of 10~200nL/L and satisfactory repeatability. The detection limit is 2.584nL/L. The method shows a potential for on-line monitoring of trace CS₂ in decomposition components of SF₆ insulation equipment.

Key words： CS₂ SF₆ ultraviolet differential absorption spectrum (UV-DOAS) concentration inversion online monitoring

Received: 19 July 2017 Published: 26 September 2018

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TM83

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	Articles by authors
	Cui Zhaolun
	Meng Fansheng
	Cheng Zheng
	Li Yalong
	Zhang Xiaoxing

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Cui Zhaolun,Meng Fansheng,Cheng Zheng等. Quantitative Detection of the CS₂ Produced by SF₆ Decomposition Based on Ultraviolet Differential Optical Absorption Spectrometry[J]. Transactions of China Electrotechnical Society, 2018, 33(18): 4389-4396.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.171090 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I18/4389

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