李 亚,蒋 伟,樊汝森,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):. Li Ya,Jiang Wei,Fan Rusen,Yang Junjie,Song Tao,Zhao Qinxue.Research on the Intelligent Transformer Area Recognition MethodBased on BP Neural Network[J].Electrical Measurement & Instrumentation,2017,54(3):.
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 MethodBased on BP Neural Network
For the convenience of census the transformer area and the phase information, especially to solve the user information of across the transformer area identifying problems, 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 used power line carrier communication technology. For the across transformer area, according to the communication signal quality between the system and the recognized user, 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 not only can effectively solve the cross transformer area communication crosstalk problems but also can intelligently identify the user transformer area and the phase information, and also with the advantages of high identification accuracy, higher tolerance performance, these to improve the accuracy of the transformer area and the phase information, reduce the workload and to reduce cost are have a great significance.
