论文:2023,Vol:41,Issue(3):546-556
引用本文:
胡磊, 柳杨, 郭卿超, 时雨, 马春燕, 张建东, 张涛. AFDX网络设备故障诊断技术[J]. 西北工业大学学报
HU Lei, LIU Yang, GUO Qingchao, SHI Yu, MA Chunyan, ZHANG Jiandong, ZHANG Tao. AFDX network equipment fault diagnosis technology[J]. Journal of Northwestern Polytechnical University

AFDX网络设备故障诊断技术
胡磊1, 柳杨2, 郭卿超1, 时雨3, 马春燕3, 张建东4, 张涛3
1. 沈阳飞机设计研究所 总体气动部, 辽宁 沈阳 110034;
2. 沈阳飞机设计研究所 综合航电部, 辽宁 沈阳 110034;
3. 西北工业大学 软件学院, 陕西 西安 710072;
4. 西北工业大学 电子信息学院, 陕西 西安 710072
摘要:
AFDX网络作为机载主干通信网络,如果出现故障,将影响整个航电系统的功能。AFDX网络设备故障诊断对于机载通信的稳定运行和航空子系统故障管理具有重要意义。聚焦网络设备故障诊断技术,研究了一套基于网络演算法的AFDX网络设备故障诊断技术。通过设计故障特征参数标识故障类型,给出检测结果和故障特征参数的关联关系;使用被动式采集的方式对关键元器件、通信过程以及设备性能进行状态检测;针对所收集的检测数据,分别给出故障诊断方法并对偶发性异常进行识别和抑制;设计网络故障诊断测试用例,从实时性和并发性2个角度进行测试验证,测试用例的通过率达到98%,且未发生致命、严重级别的BUG,较小级别的BUG不超过5个且均已修复,验证结果证明了方法的有效性。
关键词:    AFDX网络    网络设备    故障诊断    网络监控   
AFDX network equipment fault diagnosis technology
HU Lei1, LIU Yang2, GUO Qingchao1, SHI Yu3, MA Chunyan3, ZHANG Jiandong4, ZHANG Tao3
1. General Pneumatic Department, Shenyang Aircraft Design and Research Institute, Shenyang 110034, China;
2. Integrated Avionics Department, Shenyang Aircraft Design and Research Institute, Shenyang 110034, China;
3. School of Software, Northwestern Polytechnical University, Xi'an 710072, China;
4. School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
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.
Key words:    AFDX network    network equipment    fault diagnosis    network monitoring   
收稿日期: 2022-07-28     修回日期:
DOI: 10.1051/jnwpu/20234130546
基金项目: 航空科学基金(20185853038,201907053004)资助
通讯作者: 马春燕(1978—),西北工业大学副教授,主要从事软件自动化测试与故障定位研究。e-mail:machunyan@nwpu.edu.cn     Email:machunyan@nwpu.edu.cn
作者简介: 胡磊(1988—),沈阳飞机设计研究所高级工程师,主要从事飞机总体设计与系统综合设计研究。
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