高电压技术2018，Vol.44Issue(6)：2033-2039,7.DOI:10.13336/j.1003-6520.hve.20180529041
基于RSSI指纹的特高频局部放电定位法
UHF Partial Discharge Localization Methodology Based on RSSI Fingerprinting
摘要
Abstract
Currently available UHF partial discharge (PD) localization technology is mainly based on the time delay algorithm. To obtain an accurate time delay between each channel of PD pulse requires a very high sampling rate, thus expensive hardware costs are needed and it is hard to achieve wide application. We proposed an RSSI-fingerprinting-based PD localization methodology, which possesses the advantages of low hardware cost and easy fulfillment in RSSI and features of being well adaptive to complex space environment of fingerprinting. The proposed method includes two stages: the RSSI fingerprinting setup during offline stage and the online PD localization by particle swarm optimization (PSO) based BP neural network (PSO-BP). The field tests show that the mean error of PD localization by the proposed method is 0.484 m, and 87％ of errors are less than 1 m while the corresponding variance is small, verifying the accuracy and stability of proposed novel PD localization method.关键词
局部放电/定位算法/接收信号强度/指纹定位/神经网络/PSO-BP 定位算法Key words
partial discharge/localization algorithm/received signal strength indicator/fingerprint location/neural networks/PSO-BP引用本文复制引用
李臻,罗林根,陈敬德,盛戈皞,徐鹏,江秀臣..基于RSSI指纹的特高频局部放电定位法[J].高电压技术,2018,44(6):2033-2039,7.基金项目
国家重点研发计划(2017YFB0902705) （2017YFB0902705）
国家电网公司科技项目：基于特高频无线传感技术的变电站局放在线监测和定位关键技术研究. Project supported by National Key R&D Program of China(2017YFB0902705), Science and Technology Project of SGCC: Research on Key Technologies of Substation PD Online Monitoring and Location Based on UHF Wireless Sensor Technology. （2017YFB0902705）
