Abstract：The method to measure SF6 decomposition products in gas insulated equipment becomes the effective tool for equipment state detection. But the relation between the decompositions and equipment faults and the reference contents of the decompositions for field application need to be further investigated. In this paper the method and flow of modeling for the relation was studied and proposed. The decomposition data of the breaking arc, partial discharge and abnormal heating tests have been used to establish the decompositions probability models under the different equipment conditions. And the field measurement results have shown the modeling method and probability model are valid. The Bayes statistics based on the decomposition models to estimate the probability of equipment fault was provided in the end, which provides the effective basis for the equipment condition evaluation.
颜湘莲, 王承玉, 季严松, 张振乾, 宋杲, 杨韧. 气体绝缘设备中SF6气体分解产物与设备故障关系的建模[J]. 电工技术学报, 2015, 30(22): 231-238.
Yan Xianglian, Wang Chengyu, Ji Yansong, Zhang Zhenqian, Song Gao, Yang Ren. Modeling of the Relation between SF6 Decomposition Products and Interior Faults in Gas Insulated Equipment. Transactions of China Electrotechnical Society, 2015, 30(22): 231-238.
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