摘要
局部放电(简称局放)检测是探测电力电缆绝缘缺陷的有效手段。针对传统短时奇异值分解(STSVD)白噪声抑制方法存在的不足,文中提出了一种基于时域能量与自适应奇异值阈值的局放信号白噪声抑制方法。该方法利用自适应奇异值阈值估计策略对重构奇异值个数进行准确估计,并在此基础上结合时域能量准则仅对局放脉冲区域进行去噪处理,从而极大地提升了算法的执行效率。对仿真和实测含噪局放信号进行处理,并将去噪结果与现有的自适应奇异值分解(ASVD)、传统STSVD及小波变换去噪结果进行对比。研究结果表明:相比于ASVD、小波变换去噪方法,文中所提去噪方法能够取得更好的去噪效果,去噪后波形误差更小;相比于传统STSVD,文中所提方法能够有效解决去噪后存在的毛刺干扰问题,且计算速率更快。
Partial discharge(PD)detection for power cable is an effective method in cable insulation diagnosis.Focusing on the deficiencies of white noise suppression method of traditional short-time singular value decomposition(STSVD),a modified de-noising method for partial discharge signal based on time-domain energy and adaptive singular value threshold is presented in this paper.The proposed method can estimate the number of reconstructed singular values precisely by using the adaptive singular value threshold estimation strategy,and the execution efficiency can be improved greatly combined with the time-domain energy criterion,which only handles the regions of partial discharge pulse.The proposed method has been examined on simulated and measured PD signals,and its results have been compared with existing adaptive singular value decomposition(ASVD),traditional STSVD,and wavelet transform de-noised results.The research results show that,compared with ASVD and wavelet transform de-noising methods,the proposed method can obtain better de-noised results;compared with traditional STSVD,the proposed method can effectively solve the pulse-like interference problem after de-noising,and the calculation rate is faster.
作者
何青霜
谢敏
周凯
He Qingshuang;Xie Min;Zhou Kai(College of Computer Science,Sichuan Normal University,Chengdu 610101 China;State Grid Wuxi Power Supply Company,Wuxi 214000,Jiangsu,China;School of Electrical Engineering,Sichuan University,Chengdu 610065,China)
出处
《电测与仪表》
北大核心
2022年第10期60-66,92,共8页
Electrical Measurement & Instrumentation
基金
中国博士后科学基金项目(2015T80976)。
关键词
电力电缆
局部放电
短时奇异值分解
自适应奇异值阈值
时域能量
power cable
partial discharge
short-time singular value decomposition
adaptive singular value threshold
time-domain energy
