摘要
建立了金属氧化物避雷器(MOA)内部微正压有限元三维仿真模型,采用热流固耦合对其防爆板结构进行优化设计,研究温差、气压与防爆板应力分布的数据关联关系;采用金属应变片采集内部气压变化时防爆板形变数据,运用K-means聚类提取防爆板形变特征进行数据分类,从而实现异常检测与特征分析,达到在线监测及故障诊断目的。
In this paper,a three-dimensional finite element simulation model of micro positive pressure in MOA is established,and the optimized design of its explosion-proof plate structure is carried out by the method of thermal-fluid-solid coupling.The data association between temperature difference,air pressure and stress distribution of explosion-proof plate is studied.After using metal strain gauge to collect the deformation data of theexplosion-proof plate when the internal pressure of MOA changes,K-means clusteringis used to extract the deformation characteristics of theexplosion-proof plate for data classification,so as to realize anomaly detection and feature analysis and achieve the purpose of online monitoring and fault diagnosis.
作者
唐邦义
马众
赵海鹏
马永吉
周刚捷
金立军
TANG Bangyi;MA Zhong;ZHAO Haipeng;MA Yongji;ZHOU Gangjie;JIN Lijun(Overhaul Company of State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830000,China;College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China)
出处
《电工技术》
2020年第13期141-144,共4页
Electric Engineering
关键词
金属氧化物避雷器
微正压
热流固耦合
异常检测
防爆板
MOA
micro-positive pressure
thermal-fluid-solid coupling
anomaly detection
explosion-proof plate