摘要
高压断路器分、合闸时产生的振动信号中存在着大量的机械状态信息,为了准确地进行高压断路器机械故障诊断,采用变分模态分解对高压断路器分闸过程中的振动信号进行分解得到多个IMF分量,对得到的IMF分量提取能量熵作为特征量输入到支持向量机中进行高压断路器机械故障识别,实验结果验证了该方法诊断故障的有效性。
There is a large amount of mechanical state information in the vibration signals generated by high voltage circuit breakers when they are switched on and off. In order to accurately diagnose the mechanical fault of high voltage circuit breakers,the vibration signals generated by high voltage circuit breakers during switching are decomposed into multiple IMF components by variational mode decomposition,and the energy entropy of the obtained IMF components is extracted as a feature and input into the support vector machines to identify the mechanical fault of high voltage circuit breakers. The experimental results verify the validity of the method in fault diagnosis.
作者
陈尚
郑翔
CHEN Shang;ZHENG Xiang(State Grid Beijing Fangshan Power Supply Company,Beijing 102401,China)
出处
《黑龙江电力》
CAS
2019年第1期60-63,共4页
Heilongjiang Electric Power
关键词
高压断路器
变分模态分解
支持向量机
能量熵
故障诊断
high voltage circuit breaker
variational mode decomposition
support vector machine
energy entropy
fault diagnosis
