Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method

Yuanyuan Yang; Huina Mu; Xiaojian Yi; Hongmei Yan; Guangliang Chen

doi:10.1109/PHM-Paris.2019.00027

Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method

Yuanyuan Yang
, Huina Mu
, Xiaojian Yi^*
, Hongmei Yan
, Guangliang Chen

^*Corresponding author for this work

School of Mechatronical Engineering

Beijing Institute of Technology
China North Industries Group

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019
Editors	Chuan Li, Jose Valente de Oliveira, Ping Ding, Ping Ding, Diego Cabrera
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	114-120
Number of pages	7
ISBN (Electronic)	9781728103297
DOIs	https://doi.org/10.1109/PHM-Paris.2019.00027
Publication status	Published - May 2019
Event	2019 Prognostics and System Health Management Conference, PHM-Paris 2019 - Paris, France Duration: 2 May 2019 → 5 May 2019

Publication series

Name	Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019

Conference

Conference	2019 Prognostics and System Health Management Conference, PHM-Paris 2019
Country/Territory	France
City	Paris
Period	2/05/19 → 5/05/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Bayesian network
GO method
command and control network
fault diagnosis
reliability analysis

Access to Document

10.1109/PHM-Paris.2019.00027

Cite this

Yang, Y., Mu, H., Yi, X., Yan, H., & Chen, G. (2019). Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method. In C. Li, J. V. de Oliveira, P. Ding, P. Ding, & D. Cabrera (Eds.), Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019 (pp. 114-120). Article 8756371 (Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHM-Paris.2019.00027

Yang, Yuanyuan ; Mu, Huina ; Yi, Xiaojian et al. / Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method. Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019. editor / Chuan Li ; Jose Valente de Oliveira ; Ping Ding ; Ping Ding ; Diego Cabrera. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 114-120 (Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019).

@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",

}

Yang, Y, Mu, H , Yi, X, Yan, H & Chen, G 2019, Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method. in C Li, JV de Oliveira, P Ding, P Ding & D Cabrera (eds), Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019., 8756371, Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019, Institute of Electrical and Electronics Engineers Inc., pp. 114-120, 2019 Prognostics and System Health Management Conference, PHM-Paris 2019, Paris, France, 2/05/19. https://doi.org/10.1109/PHM-Paris.2019.00027

Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method. / Yang, Yuanyuan; Mu, Huina ; Yi, Xiaojian et al.
Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019. ed. / Chuan Li; Jose Valente de Oliveira; Ping Ding; Ping Ding; Diego Cabrera. Institute of Electrical and Electronics Engineers Inc., 2019. p. 114-120 8756371 (Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method

AU - Yang, Yuanyuan

AU - Mu, Huina

AU - Yi, Xiaojian

AU - Yan, Hongmei

AU - Chen, Guangliang

PY - 2019/5

Y1 - 2019/5

N2 - 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.

AB - 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.

KW - Bayesian network

KW - GO method

KW - command and control network

KW - fault diagnosis

KW - reliability analysis

UR - https://www.scopus.com/pages/publications/85070524655

U2 - 10.1109/PHM-Paris.2019.00027

DO - 10.1109/PHM-Paris.2019.00027

M3 - Conference contribution

AN - SCOPUS:85070524655

T3 - Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019

SP - 114

EP - 120

BT - Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019

A2 - Li, Chuan

A2 - de Oliveira, Jose Valente

A2 - Ding, Ping

A2 - Cabrera, Diego

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019

Y2 - 2 May 2019 through 5 May 2019

ER -

Yang Y, Mu H , Yi X, Yan H, Chen G. Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method. In Li C, de Oliveira JV, Ding P, Ding P, Cabrera D, editors, Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 114-120. 8756371. (Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019). doi: 10.1109/PHM-Paris.2019.00027

Reliability Analysis and Fault Diagnosis of Command and Control Network Based on Bayes-GO Method

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this