摘要
针对主变压器重瓦斯保护跳闸故障特征信号提取不完整、诊断效果差的问题,提出了一种110 kV主变压器重瓦斯保护跳闸故障的自动诊断方法。首先对110 kV主变压器重瓦斯保护跳闸的故障数据进行采集,然后利用空间函数提取出关键的跳闸故障特征,构建高精度的跳闸故障诊断模型,以实现对110 kV主变压器重瓦斯保护跳闸故障的自动诊断。结果表明,应用该方法提取的故障特征信号与实际情况更为拟合,应用效果更好。
In view of the problem of incomplete fault function signal extraction of main transformer,a fault diagnosis method of 110 kV main transformer is proposed.First,the fault data of heavy gas protection trip of 110 kV main transformer is collected,then the key trip fault feature is extracted by space function,and a high-precision trip fault diagnosis model is constructed to realize the automatic diagnosis of heavy gas protection trip fault of 110 kV main transformer.The experimental results show that the fault feature signals extracted by the proposed method are more fit and applied better.
作者
朱一琳
ZHU Yilin(Wuxi Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Wuxi,Jiangsu 214000,China)
出处
《自动化应用》
2025年第6期173-175,共3页
Automation Application
关键词
110
kV主变压器
重瓦斯保护
跳闸故障
自动诊断
差分电压法
故障特征
110 kV main transformer
heavy gas protection
tripping fault
automatic diagnosis
differential voltage method
fault feature
