Abstract：Detection of multiple gases(hydrogen, carbon monoxide, carbon dioxide, methane, acetylene, ethylene and ethane) with high accuracy and sensitivity is still the key of incipient transformer faults diagnosis based on dissolved gas analysis(DGA). In this paper, the Raman vibrational modes and Raman spectrum for dissolved gases in transformer oil were studied at the atomic level. The detecting platform for dissolved gases based on surface-enhanced Raman spectroscopy was built up, achieving Raman spectra for single gas of H2, CO, CO2, CH4, C2H2, C2H4 and C2H6 and the simultaneous detection of seven kinds of dissolved gases. Through Allan variance analysis, the optimum average times of Raman detection, increasing the detection limits by factor of about 12.8. Quantitative analysis based on ratio of gas characteristic spectral area was elaborated, achieving the detection accuracy of 96% for fault diagnosis of oil samples from transformers in the field.
陈伟根, 万福, 顾朝亮, 邹经鑫, 漆薇, 王品一. 变压器油中溶解气体拉曼剖析及定量检测优化研究[J]. 电工技术学报, 2016, 31(2): 236-243.
Chen Weigen, Wan Fu, Gu Zhaoliang, Zou Jingxin, Qi Wei, Wang Pinyi. The Research for Raman Analysis of Dissolved Gases in Transformer Oil and Optimization of Quantitative Detection. Transactions of China Electrotechnical Society, 2016, 31(2): 236-243.
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