A simulation on Raman spectra of SF6 decomposition characteristic gas: a density functional theory study

SF 6 partial discharge decomposition characteristic component analysis method is one of the most efficient and convenient technology to diagnose latent defects in SF 6 gas insulated equipment. Compared with the traditional SF 6 characteristic decomposition gas detection method, the spectral method has many outstanding advantages, such as non-destructive detection of gas, high detection speed, high precision, and no need for mixed gas separation. However, the Raman characteristics of SF 6 partial discharge decomposition characteristic gas have not been fully clarified. Therefore, based on the density functional theory, the Raman spectra of SOF2 and SO 2 F 2 are calculated, which lays a solid theoretical foundation for SF 6 gas insulated equipment insulation fault diagnosis and condition monitoring method based on spectral technology.