电测与仪表2017，Vol.54Issue(3)：25-30,6.
基于BP神经网络的智能台区识别方法研究
Research on the intelligent transformer area recognition method based on BP neural network
摘要
Abstract
For the convenience of census the transformer area and the phase information, especially to solve the iden-tifying problems of user information across the transformer area, we put forward a kind of intelligent transformer area of the users information recognition method based on BP neural network and developed the system.This system consists of identifier and handheld devices, the communication adopted power line carrier communication technology.For the across transformer area, according to the communication signal quality between the system and the recognized users, we selected the forward BP neural network with the hidden layer nodes is 6 as the across the transformer area model to recognize.The MATLAB simulation and actual test results show that this method can not only effectively solve the cross transformer area communication crosstalk problems, but also intelligently identify the user transformer area and the phase information, and also with the advantages of high identification accuracy, higher tolerance performance, which has a great significance to improve the accuracy of the transformer area and the phase information, and reduce the workload and cost.关键词
台区识别/电力载波/信号品质/BP神经网络Key words
transformer area recognition/power line carrier/signal quality/BP neural network分类
信息技术与安全科学引用本文复制引用
李亚,樊汝森,蒋伟,杨俊杰,宋涛,赵勤学..基于BP神经网络的智能台区识别方法研究[J].电测与仪表,2017,54(3):25-30,6.基金项目
国家自然科学基金资助项目(61202369) （61202369）
上海市自然科学基金自主项目(14ZR1417400) （14ZR1417400）
上海市科技创新行动计划地方院校能力建设项目(13160500900) （13160500900）
上海市教育委员会科研创新项项(12ZZ176,13YZ102) （12ZZ176,13YZ102）
