Network Equipment Fault Prediction Model Based on Time Series Algorithm
With the wide application of network equipment in various industries,the reliability and sta-bility of network equipment are increasingly required.The network equipment fault prediction has be-come the focus of network operation and maintenance management.In order to predict the fault of net-work equipment,a network equipment fault prediction model is constructed by using time series algo-rithm.Firstly,the characteristics the autoregressive integrated moving average(ARIMA)model are analyzed.Then,the time series prediction steps of ARIMA model are proposed,including the model analysis,the algorithm modeling,and the model testing and evaluation.Finally,the validity and accu-racy of ARIMA model are analyzed and verified by the case application.
network equipment fault predictionautoregressive integrated moving average(ARIMA)modelprediction model
NETL
NSTL
万方数据
维普
