AFDX 网络设备故障诊断技术

Translated title of the contribution: AFDX network equipment fault diagnosis technology

Lei Hu, Yang Liu, Qingchao Guo, Yu Shi, Chunyan Ma, Jiandong Zhang, Tao Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

This paper focuses on the network equipment fault monitoring and diagnosis software, and studies the fault diagnosis of the monitored AFDX network based on the network algorithm. Firstly, the range fault characteristic parameters are designed to identify the fault type, and the correlation between the detection results and the fault characteristic parameters at each location can be obtained. Secondly, the data storage management scheme of the first level filtering and the second level caching mechanism is designed for the data collected in the detection. Then, according to the designed fault classification, fault diagnosis methods are given respectively, and the occasional anomalies are identified and suppressed. Finally, the network fault diagnosis verification module is designed, and the experimental verification is carried out from the perspectives of real-time and concurrency. The verification results prove the effectiveness of the method.

Translated title of the contributionAFDX network equipment fault diagnosis technology
Original languageChinese (Traditional)
Pages (from-to)546-556
Number of pages11
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume41
Issue number3
DOIs
StatePublished - Jun 2023

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