摘要
抑制白噪声是局部放电(Partial Discharge,PD)检测中的重要环节。因此,本文提出一种基于提升小波能量熵的降噪方法。该方法利用提升小波能量熵阈值法,设置相应的改进阈值函数,将信号中的白噪声滤除。通过仿真实验表明,与传统的小波软阈值法相比,该方法能更有效地滤除白噪声,且在不同噪声环境下性能稳定,可满足后续的工程需求。
Suppressing white noise is an important part of partial discharge(PD)detection.Therefore,a denoising method based on lifting wavelet energy entropy is proposed in this paper.In this method,the lifting wavelet energy entropy threshold method is used to set the corresponding improved threshold function to filter out the white noise in the signal.Simulation results show that compared with the traditional wavelet soft threshold method,this method can filter white noise more effectively,has stable performance in different noise environments,and can meet the needs of subsequent projects.
作者
程华瞻
CHENG Huazhan(College of Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《信息与电脑》
2022年第3期165-168,共4页
Information & Computer
关键词
局部放电
白噪声
小波能量熵
阈值函数
partial discharge
white noise
lifting wavelet energy entropy
threshold function
