论文信息 - Network Equipment Fault Prediction Based on CUSUM Algorithm

Network Equipment Fault Prediction Based on CUSUM Algorithm

In this paper, the CUSUM algorithm is used to detect and predict the state of network equipment. By collecting information on network equipment operating characteristics, features of the device obtained sample set, the application design is complete training sample set and obtained parameters of algorithm, build fault prediction model based on CUSUM algorithm to realize the equipment fault predictive analysis. The experimental results show that the detection algorithm can detect the abnormal state of the system in advance, and provide the decision-making basis for the equipment fault prediction.

Peishun Liu | Changjian Zhao | LiFang Lin | Peiwei Jia

[1] Wei Zhang,et al. Fault Prediction for Nonlinear System Using Sliding ARMA Combined with Online LS-SVR , 2014 .

[2] Nittaya Kerdprasop,et al. Feature Selection and Boosting Techniques to Improve Fault Detection Accuracy in the Semiconductor Manufacturing Process , 2011 .

[3] Sun Zhixin,et al. Router Anomaly Traffic Detection Based on Modified-CUSUM Algorithms , 2005 .

[4] Zhou Xi-yuan. Adaptive Nonparametric CUSUM Control Chart , 2008 .

[5] Sang Jeen Hong,et al. Fault Detection and Classification in Plasma Etch Equipment for Semiconductor Manufacturing $e$-Diagnostics , 2012, IEEE Transactions on Semiconductor Manufacturing.