TY - GEN
T1 - Reliability modeling and analysis of command and control network based on dynamic bayes-Go method
AU - Mu, Huina
AU - Yan, Hongmei
AU - Yi, Xiaojian
AU - Yang, Yuanyuan
AU - Chen, Guangliang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - A The combat command and control system is the nerve center to carry out joint operations. It is an important part of military operations in the information age and plays the role of "amplification multiplier"in the enemy operations. In this paper, a combat command network system was taken as the research object, and the reliability modeling and analysis of the combat command network were conducted based on dynamic Bayes-GO method. Firstly, the mapping rules for transforming common operators, type 18A and type 20 operators in GO method into dynamic Bayesian networks are given. Then, the task of the brigade command vehicle 2 commanding the combat vehicle 5 to strike the target in a combat command network was modeled and analyzed. Finally, the dynamic availability curve of the system within t = 300h and the availability corresponding to the system at each moment are calculated, which can enable the combat commander to clearly judge the reliability of the system in successfully hitting the target at each moment, thus the other combat equipment can be better dispatched for cooperative operations.
AB - A The combat command and control system is the nerve center to carry out joint operations. It is an important part of military operations in the information age and plays the role of "amplification multiplier"in the enemy operations. In this paper, a combat command network system was taken as the research object, and the reliability modeling and analysis of the combat command network were conducted based on dynamic Bayes-GO method. Firstly, the mapping rules for transforming common operators, type 18A and type 20 operators in GO method into dynamic Bayesian networks are given. Then, the task of the brigade command vehicle 2 commanding the combat vehicle 5 to strike the target in a combat command network was modeled and analyzed. Finally, the dynamic availability curve of the system within t = 300h and the availability corresponding to the system at each moment are calculated, which can enable the combat commander to clearly judge the reliability of the system in successfully hitting the target at each moment, thus the other combat equipment can be better dispatched for cooperative operations.
KW - Bayes-GO method
KW - Combat command and control network system
KW - Reliability modeling and analysis
UR - http://www.scopus.com/inward/record.url?scp=85091490777&partnerID=8YFLogxK
U2 - 10.1109/SDPC.2019.00111
DO - 10.1109/SDPC.2019.00111
M3 - Conference contribution
AN - SCOPUS:85091490777
T3 - Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
SP - 589
EP - 595
BT - Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
A2 - Li, Chuan
A2 - Zhang, Shaohui
A2 - Long, Jianyu
A2 - Cabrera, Diego
A2 - Ding, Ping
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
Y2 - 15 August 2019 through 17 August 2019
ER -