文章基本信息

标题：STUDY ON PARTIAL DISCHARGE SIGNAL DENOISING OF TRANSFORMER
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作者：Yanyan Zheng ; Yongli Zhu
期刊名称：Fresenius Environmental Bulletin
印刷版ISSN：1018-4619
出版年度：2020
卷号：29
期号：4A
页码：2707-2710
语种：English
出版社：PSP Publishing
摘要：Partial discharge (PD) of high voltage equipment detected by online monitoring is regarded as a key indicator of insulation status. Threshold estimation exerts an important influence on the denoising effects of PD signals after wavelet-based denoising. In order to improve the adaptive performance of wavelet-based denoising and reduce the distortion of denoised signal, an approach of hybrid particle swarm optimization (HPSO) adaptive wavelet threshold estimation (HPSOTE) is presented in this paper. The effect of four different factors on noise rejection ratio (NRR) is studied. The results show that this HPSOTE can remove the noise effectively and has comparatively high application value in PD online monitoring for smart grid based on big data.
关键词：Partial discharge;Online monitoring;Wavelet-based denoising;Transformer