Neural Network-based Method to Quantitatively Calculate Electric Communication Network Faults
China's current electric communication network can only carry out qualitative rather than quantitative fault diag-nosis and analysis under complex communication environment. Therefore this paper studies the application of neural net-work method to fault diagnosis of electric communication network,attempting to realize quantitative fault diagnosis and a-nalysis.First the quantitative calculation index of fault information of electric communication network is determined,the fault hazard evaluation system is constructed,and the expert evaluation system is introduced.Then the fault information is processed by the expert evaluation system,and neural network method is adopted in training of weight parameters,ena-bling modeling of neural network-based quantitative fault analysis and realizing quantitative fault analysis.The proposed method is verified by case test effective in calculating fault level information and quantitative alarm value of electric com-munication network,and thus more advanced than conventional methods and worthy of large scale application.
neural networkelectric communication networkquantitative computation
NETL
NSTL
万方数据
维普
