Application of Elman Neural Network in the Fault Diagnosis of High Voltage Electric Power Metering System
Zhao Jian-ju · Electrical Measurement & Instrumentation · 2014
Elman neural network will be able to adopted in the fault diagnosis of high voltage electric power metering system according to the advantage of the great adaptivity. Information in 8 operation parameters of metering system will be extracted to be taken as the input values of the neural network,and a 4- bit binary number will be adopted to represent the normal circumstance and 9 main fault types. Then the collected samples are used to train Elman network and 4 fault types will be selected to test the network. The results show that the Elman network model can effectively diagnose the fault of high voltage electric power metering system.