摘要
提出了基于驱动电机绕组电流与随机森林法的GIS内隔离开关机械故障诊断方法。将隔离开关驱动电机在不同操作阶段的极大电流值及其出现时刻作为特征值,通过力矩加载工装对隔离开关故障率较高的三类四种机械故障进行了模拟实验,并建立基于随机森林法的隔离开关机械故障诊断模型。最后,基于上述分类模型对模拟故障类型进行分类。分类结果表明,基于随机森林的隔离开关机械故障诊断的准确率高达90%,可有效实现隔离开关机械故障的诊断。
A mechanical fault diagnosis method of GIS isolation switch based on the winding current of drive motor and random forest is proposed.The maximum current value of the motor driven by the isolation switch in different operating stages and its appearance time are taken as the characteristic value.Secondly,three types and four kinds of mechanical faults with high failure rate of isolation switch are simulated by using torque loading tool,and a mechanical fault diagnosis model of isolation switch based on random forest is established.Finally,based on the above classification model,the simulated fault types are analyzed,and the classification results show that the mechanical fault diagnosis accuracy of random forest based isolation switch is as high as 90%,which can effectively realize the diagnosis of isolation switch mechanical fault.
作者
代书海
田瑞
曹双鹏
DAI Shuhai;TIAN Rui;CAO Shuangpeng(Songhuajiang Thermal power Co.,LTD,Jilin Electric Power Co,LTD,Jilin 132000,Jilin;Ultra High Voltage Branch,State Grid Liaoning Electric Power Co,LTD,Shenyang,110000,Liaoning;Liaoyang Power Supply Company,State Grid Liaoning Electric Power Co,LTD,Liaoyang 111000,Liaoning)
出处
《济源职业技术学院学报》
2024年第2期58-63,共6页
Journal of Jiyuan Vocational and Technical College
关键词
GIS内隔离开关
机械故障
随机森林
绕组电流
故障诊断
GIS internal disconnector
mechanical failure
random forests
winding current
fault diagnosis
