摘要
为了获取断路器在多次分合闸动作机械性能劣化过程中振动信号的差异,基于小波包分解理论,提取SF 6断路器在分合闸动作4000次过程中的振动信号,并进行小波包分解,计算各个节点的能量谱和能量熵。计算结果表明,在合闸与分闸过程振动信号能量谱中,能量主要分布在节点(4,0)与节点(4,1),占比达到95%。随着断路器动作次数增加,分闸振动信号节点(4,0)的能量占比增加,节点(4,1)能量占比减少,能量分布向低频转移。合闸振动信号节点(4,0)与节点(4,1)的能量比均在一定范围内波动,未呈现出明显的变化趋势,合闸振动信号与分闸振动信号各个节点的小波包-能量熵均保持不变。
To obtain the difference in vibration signal during the mechanical performance deterioration of circuit breaker in multiple breaking and closing actions,this paper extracted the vibration signal of SF 6 circuit breaker in the process of breaking and closing actions for 4000 times based on wavelet packet decomposition theory.Besides,it carried out wavelet packet decomposition to calculate the energy spectrum and energy entropy of each node.The calculation results show that the energy spectrum of the vibration signal in the process of closing and breaking is mainly distributed in node(4,0)and node(4,1),which account for 95%of the energy.As the number of circuit breaker actions increases,the energy share of the breaking vibration signal node(4,0)increases,the energy share of node(4,1)decreases,and the energy distribution shifts to lower frequencies.The energy ratios of node(4,0)and node(4,1)of the closed vibration signal fluctuate within a certain range and show no obvious trend,the wavelet packet-energy entropy of each node of the closed vibration signal and the split vibration signal remain unchanged.
作者
王璐
彭彦军
潘宁波
滕本科
陈健禧
WANG Lu;PENG Yanjun;PAN Ningbo;TENG Benke;CHEN Jianxi(Guilin Power Supply Bureau of Guangxi Power Grid Co.,Ltd.,Guilin Guangxi 541002,China)
出处
《宁夏电力》
2023年第1期32-37,共6页
Ningxia Electric Power
基金
广西电网公司科技项目资助(GXKJXM20200249)。
关键词
振动信号
能量谱
能量熵
小波包
vibration signal
energy spectrum
energy entropy
wavelet packet
