基于非等间距灰色多变量模型预测变压器故障  

Prediction of Transformer Fault by Non-equidistance Multivariable Grey Model

作　　者：孙娜[1] 

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003

出　　处：《电力科学与工程》2010年第9期27-30,共4页Electric Power Science and Engineering

摘　　要：电力变压器是电力系统中最重要的设备之一,变压器一般在发生故障前其内部的油中会析出多种气体,即氢气、甲烷、乙烷、乙烯和乙炔,并且析出的5种气体之间存在着某种耦合关系。通过建立5种气体的非等间距多变量灰色模型对故障特征气体分析,预测出变压器故障,克服了只考虑一种气体的发展变化或仅在等间距的基础上进行预测的不足。Power transformer is an essential component in the power system,transformer＇s oil products gases before transformer insulation faults,the gases include：H2,CH4,C2H2,C2H6 and C2H4,and there is some coupling among the five gas,In this paper,it was predicted the transformer fault to analysis the fault characteristics gases by Non-equidistance Multivariable Grey Model to make up the disadvantage that only one index extracted from the signal is considered,or the prediction is based on equidistance sequence grey model.

关 键 词：变压器 故障特征气体 非等间距多变量灰色模型 

分 类 号：TM407[电气工程—电器]