基于电化学传感器的SF_(6)/N_(2)混气中分解产物动态修正检测方法

Dynamic Correction Detection Method of SF_(6)/N_(2) Mixture Gas Decomposition Products Based on Electrochemical Sensor

SF_(6)/N_(2)混气能有效克服SF_(6)气体低温液化及环保问题而在电力工业领域广泛应用,基于SF_(6)/N_(2)混气分解产物的化学检测对高压电气设备潜伏性故障诊断意义重大。针对不同比例的SF_(6)/N_(2)混气背景对分解产物检测带来偏差问题,在高斯矩阵去交叉算法基础上,采用动态修正算法,实现一台SF_(6)分解产物分析仪动态检测不同比例SF_(6)/N_(2)混气背景中分解产物含量。实验结果显示动态修正算法植入电化学传感器前后的气体最大示值误差由原来的50%降低至10%以下,可满足对高压电器设备SF_(6)/N_(2)绝缘介质中分解产物的准确检测,实现高压电器设备健康状态监测和故障预判。

SF_(6)/N_(2)mixed gas which is widely used in the field of power industry can effectively overcome the problems of low temperature liquefaction and environmental protection of SF_(6) gas.The chemical detection based on SF_(6)/N_(2)mixed gas decomposition products is of great significance to the diagnosis of latent faults in high-voltage electrical equipment.In view of the deviation caused by different proportions of SF_(6)/N_(2)gas mixing background to the detection of decomposition products,a dynamic correction algorithm is adopted to implement a SF_(6) decomposition product analyzer based on the Gaussian matrix de-crossing interference algorithm to dynamically detect the contents of decomposition products in different proportions of SF_(6)/N_(2)gas mixing background.The experimental results show that the maximum error of gas indication value before and after the dynamic correction algorithm is implanted into the electrochemical sensor is reduced from 50%to less than 10%,which can satisfy the accurate detection of decomposition products in the SF_(6)/N_(2)insulating medium of high voltage electrical equipment,and realize the health status monitoring and fault prediction of high voltage electrical equipment.