基于关联气体报警的变压器故障识别  

Transformer Fault Diagnosis Based on Associated Gas Alarm

作　　者：陈玉烽 汪保[1] 

机构地区：[1]宁波工程学院,浙江宁波315211

出　　处：《宁波工程学院学报》2015年第3期41-46,共6页Journal of Ningbo University of Technology

摘　　要：本文提出一种新的高压电力变压器故障检测方法。通过对基本故障形式产生的特征气体做相关性分析,得出特征气体间的关联性,给出故障判断标准。将变压器油中的主特征气体及相关气体的浓度变化值与判断标准进行对比,确定变压器是否存在故障。经大量的特征气体测量数据检验,证明了本方法的有效性。A high-voltage power transformer fault detection method is presented in the paper. Through the correlation analysis of the characteristics of gas data, the criteria for the judgment of malfunction are given. The concentration of main characteristic gases and associated gases is compared with the judgment criteria to determine whether the transformer works or not. The method is proven effective after various measurement tests of characteristic gases.

关 键 词：变压器在线监测 故障诊断 相关性分析 特征气体关联报警 

分 类 号：TM411[电气工程—电器]