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- W2360471964 abstract "Present chemical detection methods by which it takes a long time and is hard to detect discharge failures in SF6-insulated electrical equipment are outdated. Thus, we proposed to identify the presence of SO2 in gas insulated switchgear(GIS) by using ultraviolet spectroscopy(UV) so as to realize online monitoring discharges in SF6 electrical equipment. Moreover, we used the fast Fourier transform(FFT), autocorrelation analysis, and power spectral density(PSD) to process the data of two feature spectroscopy areas, 209~219 nm and 295~305 nm, and chose five characteristic values, namely, the number of correlation peaks, the expectation and standard deviation of the distance between adjacent peaks, the peak frequency components of FFT and PSD, to determine whether SO2 exists based on the voting principle. Through a designed experiment using standard SO2 gas, we defined the thresholds of the characteristic values, and proved that the minimum detectable value was below 10-6. Meanwhile, we tested an operating current transformer with suspect discharge failure in field. The results prove that the method is valid for detecting SO2 trace, and confirm that the suspect discharge failure is in accordance with the result obtained by a comprehensive SF6 test instrument." @default.
- W2360471964 created "2016-06-24" @default.
- W2360471964 creator A5070131898 @default.
- W2360471964 date "2015-01-01" @default.
- W2360471964 modified "2023-09-24" @default.
- W2360471964 title "Online Detection Methodology of Decomposition Product SO_2 in SF_6 Electrical Equipment Based on Ultraviolet Spectroscopy" @default.
- W2360471964 hasPublicationYear "2015" @default.
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