Network Equipment Fault Prediction Based on CUSUM Algorithm

DOI

10.2991/nceece-15.2016.288How to use a DOI?

Keywords

Fault Prediction; CUSUM algorithm; Network Equipment; Anomaly detection.

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Peishun Liu
AU  - LiFang Lin
AU  - Changjian Zhao
AU  - Peiwei Jia
PY  - 2015/12
DA  - 2015/12
TI  - Network Equipment Fault Prediction Based on CUSUM Algorithm
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1596
EP  - 1600
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.288
DO  - 10.2991/nceece-15.2016.288
ID  - Liu2015/12
ER  -