Elman神经网络在高压电力计量系统故障诊断中的应用

利用Elman神经网络自适应性强的优势,将其应用于高压电力计量系统故障诊断中。对计量系统的8个运行参数提取故障信息作为网络的输入值,以4位二进制数表示正常情况和9种主要故障类型,用采集得到的样本对网络进行训练,并选取4种故障类型进行网络测试,结果表明,Elman神经网络模型对高压电力计量系统故障有很好的辨识和诊断效果。

Application of Elman Neural Network in the Fault Diagnosis of High Voltage Electric Power Metering System

With the advantage of strong self-adaptation, Elman neural network is applied to the fault diagnosis of high voltage electric power metering system.Firstly we extract information of the 8 operation parameters of metering system as input values of the neural network, and use 4-bit binary number to represent the normal circumstance and 9 main types of failures, then we collect samples to train Elman network and select 4 types of failures to test the network, The results show that the Elman network model can effectively diagnose the fault of high voltage electric power metering system.