摘要
针对如何准确判断剩余电流互感器故障类型问题,以分形理论为理论基础,对剩余电流互感器进行研究。分析了盒维数计算过程,利用Matlab仿真研究了新小波阈值降噪法对信号采集时去噪效果的优化。探讨了在不同故障因素下,通过网格维数计算比较正常与故障状态盒维数,从而归纳出一套以盒维数为主来判别故障类型的方法。研究表明,该方法能够准确判断出剩余电流互感器存在的故障类型。
To solve the problem of how to accurately judge the fault types of residual current transformers,the residual current transformers are studied based on the fractal theory.First,the calculation process of the box-counting dimension is analyzed.Second,the new wavelet threshold denoising method is used to optimize the denoising effect of signal acquisition by Matlab simulation.Finally,the comparison of the box-counting dimensions for the normal and the fault states is discussed after the grid dimension calculation under different fault factors.Thus,a set of methods to judge fault types are summarized based on box-counting dimensions.The research shows that this method can accurately identify the fault types of the residual current transformers.
作者
贾云翔
迟长春(指导)
耿晋中
JIA Yunxiang;CHI Changchun;Geng Jinzhong(School of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)
出处
《上海电机学院学报》
2021年第4期211-215,共5页
Journal of Shanghai Dianji University
关键词
剩余电流互感器
网格维数
新小波阈值降噪法
盒维数
residual current transformer
grid dimension
new wavelet threshold denoising method
box-counting dimension
