变压器油色谱检测数据误差来源浅析

Superficial Analysis on Error Source of Transformer Oil Chromatographic Detection Data

摘要:

变压器油色谱检测作为充油设备状态评价的重要技术之一，其测量数据的微量偏差，都将导致对设备状态的误判。文中基于2022年度35个实验室间色谱比对数据，并结合试验谱图等，从色谱检测过程中环境信息输入偏差、仪器零部件老化及试验细节把控不严3个因素着手，对引起变压器油色谱数据偏差的可能原因进行简要分析；最后，对油色谱检测中仪器的维护、试验环节的把控提出了处理建议。

Abstract:

Transformer oil chromatographic detection is one of the important techniques for state evaluation of oil filled equipment. The trace deviation of the measured data will lead to the misjudgment of the state of equipment. Based on the chromatographic data in 2022 compared among 35 laboratories, and combined with the experimental spectra, the possible causes for the deviation of transformer oil chromatographic data are briefly analyzed from environment information input deviation, aging equipment parts and test details in the process of chromatographic detection. Finally, some suggestions are proposed for instrument maintenance and test control in chromatographic detection.