摘要
本文通过基于振动频谱、电机和线圈电流等多维度指标构建断路器健康状态综合表征方法,建立断路器故障诊断多元分类器模型,发明基于领域相似样本极限学习的断路器状态监测数据清洗技术,并且构建了循环迭代的断路器检测样本在线-离线综合精炼方法,实现高压断路器高精检测。
In this paper,a comprehensive characterization method of circuit breaker health status is constructed based on multi-dimensional indicators such as vibration spectrum,motor and coil current,and a multi-classifier model for circuit breaker fault diagnosis is established.An iterative online-offline comprehensive refining method for circuit breaker detection samples is constructed to achieve high-precision detection of high-voltage circuit breakers.
作者
孙斌
周刚
陈宁宁
张知宇
SUN Bin;ZHOU Gang;CHEN Ning-ning;ZHANG Zhi-yu(Jiaxing Power Supply Company,State Grid Zhejiang Electric Power Co.Ltd.,Jiaxing 314000,China;Haiyan Power Supply Company,State Grid Zhejiang Electric Power Co.Ltd.,Haiyan 314000,China)
出处
《电气开关》
2023年第5期61-64,69,共5页
Electric Switchgear
关键词
高压断路器
高精度检测
线上线下融合
high voltage circuit breaker
high-precision detection
online-offline integrated refining