在线油色谱法是目前公认的发现变压器潜伏性故障的重要检测方法,对变压器运行状态的评估具有重要意义.气体传感器是在线色谱的关键技术.目前,国内外研制了许多油色谱在线监测传感器,但都存在灵敏度不高、线性范围难以满足要求等缺点,上述缺陷限制了在线色谱技术取代传统的离线检测技术.针对上述问题,提出一种固体氧化物燃料电池传感器检测变压器油中溶解气体的方法,介绍了传感器的制备方法、实验方法及步骤,并对油中气体的气敏响应机制进行探讨.在此基础上,基于Nernst方程构建传感器的定量数学模型.实验结果表明,固体氧化物燃料电池(SOFC)检测器技术及该文构建的模型能实现H2、CH4、C2H4、C2H6和C2H2的准确定量及高精度测量,对C2H2的灵敏度达到1 ×10-7,能较好地解决常规传感器及其定量方法稳定性差、准确性和灵敏度低等问题,具有重要的推广及应用价值.%On line chromatography used to detect the dissolved gas in oil is an important method for detection of the latent faults of the transformer,which is of great significance to status assessment of the transformer.Sensor technique used to detect gasis the key technology of on-line chromatography.At present,many on-line chromatographic monitoring sensors have been developed at home and abroad,but there are many shortcomings such as poor stability,low sensitivity and confined linear range.To solve the above problems,a method for detecting dissolved gases in transformer oil using solid oxide fuel cell sensor is presented.Meanwhile,the fabrication of the sensors,the test method and process are introduced,and the gas sensing mechanism is discussed.Based on that,the quantitative mathematical model of the sensor is constructed based on Nernst equation.The experimental results show that accurate and high precision measurement of the H2,C2H4,CH4,C2H6 and C2H2 can be achieved by using the solid oxide fuel cell (SOFC)detector technology and the proposed model.Especially,the sensitivity of the sensors to C2H2 is able to reach 1 × 10-7,and can be used to solve the problems of poor stability,accuracy and low sensitivity on conventional sensors,which demonstrates that the proposed method has a very important promotion value.
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