顶空-毛细管气相色谱法预测变压器潜伏性故障的初步探讨

Initial Investigation of Potential Fault in Transformers by Headspace-Gas Chromatography

本文选用自动顶空毛细管气相色谱分流进样体系对多种空白变压器油、正常变压器油及故障变压器油进行了分析,探讨用这种方法对变压器故障判断的可能性。

Varieties of transformer oils are analyzed by using headspace sampling and splitting system of capillary column gas chromatography. The possibility of fault diagnosis in transformers is investigated by the information of transformer oils analysis.