摘要
白噪声是电缆局部放电(partial discharge,PD)检测时最为常见的噪声之一。针对局部放电白噪声的抑制问题,提出一种基于短时奇异值分解的局部放电去噪方法。该方法通过短时数据窗截取含噪局放信号片段,利用奇异值分解实现局放信号白噪声抑制。通过典型局放脉冲模型模拟实际局放信号,考虑不同信噪比、窗口长度对去噪结果的影响,验证了该方法的可行性。在振荡电压和工频电压下对实验室模拟的两种不同典型电缆缺陷进行了局部放电测试试验,并利用不同去噪方法对测试得到的局放信号进行去噪,验证了该方法的有效性和准确性。结果表明,该方法相比于传统小波去噪识别灵敏度更高,且去噪后波形相比于传统小波和奇异值分解去噪后波形相似度更高、误差更小。
White noise is one of the most common noises existing in detected signals of partial discharge(PD) measurement for power cables. Focusing on the white noise suppression, this paper presented a new denoising method based on short-time singular value decomposition(STSVD). The proposed method applied a sliding window along the noisy PD signal, and the singular value decomposition(SVD) was used to eliminate the white noise. In the simulation test, typical PD pulsed signals were used to simulate the real PD signals, and the feasibility was verified under different signal to noise ratios(SNR) and window lengths. Finally, the denoising validity and accuracy were verified by PD test on two typical cable defects under oscillated voltage and AC voltage. The results show that: compared with traditional wavelet denoising method, STSVD is more sensitive to weak PD signals, and the denoised PD signal has a better similarities and errors compared with traditional wavelet and adaptive SVD denoising method.
作者
谢敏
周凯
黄永禄
何珉
汪先进
XIE Min;ZHOU Kai;HUANG Yonglu;HE Min;WANG Xianjin(School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,Sichuan Province,China;Electric Power Research Institute,State Grid Chongqing Electric Power Company,Yubei District,Chongqing 401123,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2019年第3期915-922,970,共9页
Proceedings of the CSEE
基金
中国博士后科学基金资助项目(2015T80976)~~
关键词
电力电缆
局部放电
白噪声
奇异值分解
滑动窗
power cable
partial discharge
white noise
singular value decomposition
sliding window
