@inproceedings{52ed52619cf240cda68595a0bedbfc7e,
title = "Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method",
abstract = "The command and control network is the center of information collection and command release in modern information warfare, and its reliability will directly affect the outcome of the war. In this paper, the equipment and environmental factors in the command and control network are comprehensively considered, and Bayes-GO method is used to analyze the two-terminal reliability of the artillery command vehicle to command the howitzer to strike the target. According to its command and control path, the GO model is established, and the GO graph is transformed into the corresponding Bayesian network on the basis of the mapping rules between models. In accordance with the forward and backward inference calculation rules of the Bayesian network, the quantitative analysis results of the two-terminal reliability of the command and control network can be obtained, and the weak links of the system are diagnosed.",
keywords = "Bayesian network, GO method, command and control network, fault diagnosis, reliability analysis",
author = "Yuanyuan Yang and Huina Mu and Xiaojian Yi and Hongmei Yan and Guangliang Chen",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Prognostics and System Health Management Conference, PHM-Paris 2019 ; Conference date: 02-05-2019 Through 05-05-2019",
year = "2019",
month = may,
doi = "10.1109/PHM-Paris.2019.00027",
language = "English",
series = "Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "114--120",
editor = "Chuan Li and {de Oliveira}, {Jose Valente} and Ping Ding and Ping Ding and Diego Cabrera",
booktitle = "Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019",
address = "United States",
}
