Dissolved gas analysis (DGA) is vital to status evaluation of power transformers. In this study, a solid oxide fuel cell (SOFC) gas sensor was fabricated and applied to DGA. Then, a gas chromatographic system was developed on basis of the SOFC detector. From Nernst function of SOFC, a mathematical model based on oxygen consumption accumulation (OCA) has been proposed to quantify trace gases dissolved in oil. Based on the OCA of SOFC, the gas concentration can be calculated though the chromatogram directly, no calibrating gas is needed, thereby greatly simplifying the quantification process. Following peak detection based on the improved filter matching method, tests were conducted to verify the validity of the OCA method. The experimental results demonstrated that the repeatability represented by relative standard deviation is less than 0.5%; high precision can be achieved, measurement error for five feature gases are less than 10% at given concentrations, providing a competitive performance against other gas sensors with curve fitting method.

中文翻译：

---

采用 OCA 方法的 SOFC 检测器可量化溶解在变压器油中的痕量气体

溶解气体分析 (DGA) 对于电力变压器的状态评估至关重要。在这项研究中，制造了固体氧化物燃料电池 (SOFC) 气体传感器并将其应用于 DGA。然后，在SOFC检测器的基础上开发了气相色谱系统。根据 SOFC 的 Nernst 函数，已经提出了基于氧消耗累积 (OCA) 的数学模型来量化溶解在油中的痕量气体。基于SOFC的OCA，可直接通过色谱图计算气体浓度，无需标定气体，大大简化了定量过程。在基于改进滤波器匹配方法的峰值检测之后，进行了测试以验证OCA方法的有效性。实验结果表明，以相对标准偏差表示的重复性小于0.5%；