高电压技术2018，Vol.44Issue(6)：2040-2047,8.DOI:10.13336/j.1003-6520.hve.20180529042
基于BP神经网络的特高频局部放电定位误差校正
Error Correction of UHF Partial Discharge Location Method Based on BP Network
摘要
Abstract
In order to improve the substation station domain positioning accuracy of the ultra high frequency (UHF) method of partial discharge, we put forward a method of the correction of positioning error based on BP neural network, which can correct the measured values by constructing an error compensation surface in which r is from 0 to 60 meters and theta (θ) is from 0 to 360° degrees based on the training of error value of the finite point (radial distance r, azimuth angle θ), and the K-Means machine learning algorithm is used to make the measured values debouncing. Moreover, taking the engineering application factors into account, we propose a method based on spline interpolation to obtain samples, which is feasible in project application. The experimental results show that the measurement error of radial distance rtends to decrease in the range of 0～40 m. The error of radial distance measurement increases within r>40 m, and the distribution of the direction angle measurement error is similar. After the error compensation, the error distribution tends to be stable and the error value is greatly reduced, which proves the feasibility and effectiveness of the method.关键词
UHF/局放定位/K-Means/BP神经网络/样条插值/误差补偿Key words
ultra high frequency/partial discharge/K-Means/BP neural network/spline interpolation/error compensation引用本文复制引用
陈敬德,高兆丽,罗林根,孙英涛,盛戈皞,江秀臣..基于BP神经网络的特高频局部放电定位误差校正[J].高电压技术,2018,44(6):2040-2047,8.基金项目
国家高技术研究发展计划(863计划)(2015AA050204).Project supported by National High-tech Research and Development Program of China(863 Program)(2015AA050204). （863计划）
