现代电子技术2016，Vol.39Issue(6)：166-170,5.DOI:10.16652/j.issn.1004-373x.2016.06.044
变压器局部放电信号检测与类型识别
Signal detection and type recognition of transformer partial discharge
赵建利 1刘海峰 2刘婷 1岳国良 2孙祎 1付龙明3
作者信息
- 1. 国网河北省电力公司电力科学研究院，河北 石家庄 050021
- 2. 国网河北省电力公司，河北 石家庄 050021
- 3. 北京中恒博瑞数字电力科技有限公司，北京 100085
- 折叠
摘要
Abstract
A transformer partial discharge detection system based on ultra⁃high frequency(UHF)method was designed to realize the signal detection and type recognition of transformer partial discharge. The partial discharge experiments were conduct⁃ed for the four typical transformer discharge models to obtain the corresponding envelope signal data of partial discharge. The da⁃ta is uploaded to the computer through Ethernet communication. The envelop signal data was denoised by improving the dual⁃tree complex wavelet transform. It is not difficult to find from the denoised single that the envelop signal shapes of the same par⁃tial discharge model are almost the same,and the envelop signal shapes of different partial discharge models are different. The transformer partial discharge types were recognized with BP neural network,by extraction of characteristic parameters of six en⁃velop signals,and in combination with the external loading voltage. When the training error δ is 0.002,the average correctness of transformer discharge type recognition can reach up to more than 98%.关键词
变压器局部放电/超高频法/提升双树复小波/BP神经网络Key words
transformer partial discharge/UHF method/improvement of dual-tree complex wavelet/BP neural network分类
信息技术与安全科学引用本文复制引用
赵建利,刘海峰,刘婷,岳国良,孙祎,付龙明..变压器局部放电信号检测与类型识别[J].现代电子技术,2016,39(6):166-170,5.
