A novel online faultdetectionalgorithm based on adaptive auto-regressive (AAR) model is proposed focusing on the anomaly detection of network traffic.
通过研究网络流量异常检测,提出一种新的基于自适应自回归(aar)模型的在线故障检测算法。
2
The simulation results show that the smaller soft faults can be detected and the excellent fault-tolerant performance can be obtained using this gyro configuration and the faultdetectionalgorithm.
仿真结果表明,采用这种陀螺构型和故障检测算法,系统可检测较小幅度的软故障,从而获得优良的容错性能。
3
This paper presents a simple algorithm for multiple faultdetection and location in parity check networks.