Xibei Gongye Daxue Xuebao (Jun 2023)

AFDX network equipment fault diagnosis technology

  • HU Lei,
  • LIU Yang,
  • GUO Qingchao,
  • SHI Yu,
  • MA Chunyan,
  • ZHANG Jiandong,
  • ZHANG Tao

DOI
https://doi.org/10.1051/jnwpu/20234130546
Journal volume & issue
Vol. 41, no. 3
pp. 546 – 556

Abstract

Read online

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.

Keywords