Research of Fault Detection in Transmission Line Based on Neural Network
Bao Qing-lan · Jisuanji fangzhen · 2009
On the basis of analysis of the existing cable fault-detecting systems,a cable fault detecting system based on neural net work was proposed;the 10kv aerial cable was investigated under this system.The data caught by the device located on the aerial cable,was sent to the control center by carrier wave communication,where data interpolation was used to restore the parameter's real distribution.After segment sampling to each parameter,the sample data were given to the 3-layer neural network,the fault type was given by the statistical analysis.The sample set was used to train the neural net work by LMBP algorithm.By EMTP simulating software,the simulating experiment was carried out.The results show that the accuracy rating increases greatly.