变压器故障气体增长性误差处理方法的研究

Data Processing for Dissolved Gas of Transformer

目前DGA在线监测系统还存在着元件性能不稳定、抗干扰性能较差、抗外界因素如温度、湿度变化的能力差,造成故障气体的增长性误差比较大,测量数据不稳定等问题。文章利用最小二乘法对误差进行处理,结果显示优化后的数据平稳,可靠性提高。

Currently, in the DGA on-line monitor system some problem still exist, such as unsteady component function, worse anti-interference function, poor anti-environment factor （such as the variety temperature and humidity） ability, big accumulative error of fault, unsteady measurement data. The article makes use of least squares algorithm to deal with the error Results show that the optimization data is steady, and reliability is improved.