基于模糊关系与自组织竞争网络的变压器故障诊断  

Transformer Fault Diagnosis Based on Fuzzy Relation and Self-organizing Competitive Network

作　　者：张旭 ZHANG Xu

机构地区：[1]云南电网有限责任公司昆明供电局

出　　处：《科技创新与应用》2020年第8期59-60,共2页Technology Innovation and Application

基　　金：云南电网有限责任公司昆明供电局科技项目(编号:050000KK52190008-028)

摘　　要：纵观现阶段变压器故障诊断的相关研究,发现传统的诊断方式存在着诸多的弊端,对比于人工智能网络诊断方法来说,其发挥出的作用并不明显。基于人工智能网络诊断方法的研究,构建自组织竞争网络模型,在此基础上的电力变压器故障诊断方法更加的科学。基于此,文章将重点阐述模糊关系与自组织竞争网络的变压器故障诊断。Throughout the relevant research of transformer fault diagnosis at the present stage,it is found that the traditional diagnosis method has many disadvantages,compared with the artificial intelligence network diagnosis method,its role is not obvious.Based on the research of artificial intelligence network diagnosis method,the self-organizing competitive network model is constructed,and the power transformer fault diagnosis method is more scientific.Based on this,this paper will focus on the transformer fault diagnosis based on fuzzy relation and self-organizing competitive network.

关 键 词：模糊关系 自组织竞争网络 变压器故障 诊断方式 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]