基于广义连续时间贝叶斯网络的指挥控制网络系统可靠性分析

doi:10.12305/j.issn.1001-506X.2022.12.34

Abstract

Abstract:

As a typical complex network system, the reliability of command and control network can usually be analyzed by using dynamic Bayesian network (DBN). However, DBN cannot solve the reliability problem of command and control network system including time and non-time events. To end this, a modeling method of generalized continuous time Bayesian network (GCTBN) with two state conditional probability table is proposed. Based on this model, the reliability algorithm of different logic gates is proposed, and the reliability analysis method of wireless propagation, communication devices and network is proposed for command and control network system, so as to comprehensively consider the reliability problem of command and control network to perform different tasks. The effectiveness of the proposed method is verified by a real case study of command and control network reliability.

Key words: command and control network, conditional probability table of two states, Bayesian network, reliability analysis

CLC Number:

TN91

Yifan LI, Huaming QIAN, Hongzhong HUANG, Tingyu ZHANG, Tudi HUANG. Reliability analysis of command and control network system based on generalized continuous time Bayesian network[J]. Systems Engineering and Electronics, 2022, 44(12): 3880-3886.

Figures/Tables 12

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References 25

1	LIU Q , RENIERS A C F , JOHANNSEN U , et al. Improved probing reliability in antenna-on-chip measurements[J]. IEEE Antennas and Wireless Propagation Letters, 2018, 17 (9): 1745- 1749. doi: 10.1109/LAWP.2018.2865605
2	蓝羽石, 易侃, 王珩, 等. 网络化C4ISR系统结构时效性分析方法[J]. 系统工程与电子技术, 2013, 35 (9): 1908- 1914. doi: 10.3969/j.issn.1001-506X.2013.09.18
	LAN Y S , YI K , WANG H , et al. Delay assessment method for networked C4ISR system architecture[J]. Systems Engineering and Electronics, 2013, 35 (9): 1908- 1914. doi: 10.3969/j.issn.1001-506X.2013.09.18
3	张萌萌, 陈洪辉, 罗爱民, 等. 基于动态调整的C4ISR系统结构灵活性分析[J]. 系统工程与电子技术, 2016, 38 (3): 563- 568.
	ZHANG M M , CHEN H H , LUO A M , et al. C4ISR system structure flexibility analysis based on dynamic adjustment[J]. Systems Engineering and Electronics, 2016, 38 (3): 563- 568.
4	PARK J H . Time-dependent reliability of wireless networks with dependent failures[J]. Reliability Engineering & System Safety, 2017, 165, 47- 61.
5	LI B , SALUCCI M , TANG W , et al. Reliable field strength prediction through an adaptive total-variation CS technique[J]. IEEE Antennas and Wireless Propagation Letters, 2020, 19 (9): 1566- 1570. doi: 10.1109/LAWP.2020.3010410
6	BEKASIEWICZ A , KOZIEL S . Reliable multistage optimization of antennas for multiple performance figures in highly dimensional parameter spaces[J]. IEEE Antennas and Wireless Propagation Letters, 2019, 18 (7): 1522- 1526. doi: 10.1109/LAWP.2019.2921610
7	SULYMAN A I , NASSAR A T , SAMIMI M K , et al. Radio propagation path loss models for 5G cellular networks in the 28 GHz and 38 GHz millimeter-wave bands[J]. IEEE Communications Magazine, 2014, 52 (9): 78- 86. doi: 10.1109/MCOM.2014.6894456
8	ZADEHPARIZI F , JAM S . Increasing reliability of frequency-reconfigurable antennas[J]. IEEE Antennas and Wireless Propagation Letters, 2018, 17 (5): 920- 923. doi: 10.1109/LAWP.2018.2823688
9	XIANG S H , YANG J . Performance reliability evaluation for mobile ad hoc networks[J]. Reliability Engineering & System Safety, 2018, 169, 32- 39.
10	HATA M . Empirical formula for propagation loss in land mobile radio services[J]. IEEE Trans.on Vehicular Technology, 1980, 29 (3): 317- 325. doi: 10.1109/T-VT.1980.23859
11	SUN S , RAPPAPORT T S , THOMAS T A , et al. Investigation of prediction accuracy, sensitivity, and parameter stability of large-scale propagation path loss models for 5G wireless communications[J]. IEEE Trans.on Vehicular Technology, 2016, 65 (5): 2843- 2860. doi: 10.1109/TVT.2016.2543139
12	YOO S K , COTTON S L , CHUN Y J , et al. Channel characteristics of dynamic off-body communications at 60 GHz under line-of-sight (LOS) and non-LOS conditions[J]. IEEE Antennas and Wireless Propagation Letters, 2017, 16, 1553- 1556. doi: 10.1109/LAWP.2017.2650863
13	MI J , BEER M , LI Y F , et al. Reliability and importance analysis of uncertain system with common cause failures based on survival signature[J]. Reliability Engineering & System Safety, 2020, 201, 106988.
14	LI X , HUANG H Z , LI Y F , et al. Reliability evaluation for VHF and UHF bands under different scenarios via propagation loss model[J]. Eksploatacja i Niezawodnosc-Maintenance and Reliability, 2019, 21 (3): 375- 383. doi: 10.17531/ein.2019.3.3
15	KASZUBOWSKA A , HU L , BARRY L P . Remote down conversion with wavelength reuse for the radio/fiber uplink connection[J]. IEEE Photonics Technology Letters, 2006, 18 (4): 562- 564. doi: 10.1109/LPT.2005.863995
16	FOTYGA G , CZARNIEWSKA M , LAMECKI A , et al. Reliable greedy multipoint model-order reduction techniques for finite-element analysis[J]. IEEE Antennas and Wireless Propagation Letters, 2018, 17 (5): 821- 824. doi: 10.1109/LAWP.2018.2817391
17	REBELLO S , YU H , MA L . An integrated approach for system functional reliability assessment using dynamic Bayesian network and hidden Markov model[J]. Reliability Engineering & System Safety, 2018, 180, 124- 135.
18	LI Y F , MI J , LIU Y , et al. Dynamic fault tree analysis based on continuous-time Bayesian networks under fuzzy numbers[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2015, 229 (6): 530- 541. doi: 10.1177/1748006X15588446
19	LI Y F , MI J , HUANG H Z , et al. System reliability modeling and assessment for solar array drive assembly based on Bayesian networks[J]. Eksploatacja i Niezawodnosc-Maintenance and Reliability, 2013, 15 (2): 117- 122.
20	BOUDALI H , DUGAN J B . A discrete-time Bayesian network reliability modeling and analysis framework[J]. Reliability Engineering & System Safety, 2005, 87 (3): 337- 349.
21	BOUDALI H , DUGAN J B . A continuous-time Bayesian network reliability modeling, and analysis framework[J]. IEEE Trans.on Reliability, 2006, 55 (1): 86- 97.
22	MURPHY K . The Bayes net toolbox for Matlab[J]. Computing Science & Statistics, 2001, 33 (2): 1024- 1034.
23	MI J , LI Y F , PENG W , et al. Reliability analysis of complex multi-state system with common cause failure based on evidential networks[J]. Reliability Engineering & System Safety, 2018, 174, 71- 81.
24	LI Y F , HUANG H Z , MI J , et al. Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability[J]. Annals of Operations Research, 2022, 311, 195- 209.
25	LI Y F , LIU Y , HUANG T , et al. Reliability assessment for systems suffering common cause failure based on Bayesian networks and proportional hazards model[J]. Quality and Reliability Engineering International, 2020, 36 (7): 2509- 2520.

A		1	2
B	1	$1-\frac{\mathrm{e}^{-\lambda t}\left(1-\mathrm{e}^{-\alpha \lambda t}\right)}{\alpha\left(1-\mathrm{e}^{-\lambda t}\right)}$	1-e^-αλt
B	2	$\frac{\mathrm{e}^{-\lambda t}\left(1-\mathrm{e}^{-\alpha \lambda t}\right)}{\alpha\left(1-\mathrm{e}^{-\lambda t}\right)}$	e^-αλt

节点	描述	节点	描述
T	通讯故障	X₃	天线故障
M₁	传输故障	X₄	耳塞故障
M₂	接收故障	X₅	电子屏故障
M₃	电力系统故障	X₆	电池故障
X₁	麦克风故障	X₇	电池故障
X₂	基带故障	-	-

D₁		1	2
X_i(i=1-7)	1	$1-\frac{\mathrm{e}^{-\lambda_i t} \int_0^t f_{D_1}\left(t_{D_1}\right) \mathrm{e}^{\lambda_i t D_1} \mathrm{~d} t_{D_1}}{\int_0^t f_{D_1}\left(t_{D_1}\right) \mathrm{d} t_{D_1}}$	0
X_i(i=1-7)	2	$\frac{\mathrm{e}^{-\lambda_i t} \int_0^t f_{D_1}\left(t_{D_1}\right) \mathrm{e}^{\lambda_i t D_1} \mathrm{~d} t_{D_1}}{\int_0^t f_{D_1}\left(t_{D_1}\right) \mathrm{d} t_{D_1}}$	1

节点	设备	λ	节点	设备	λ
X₁	麦克风	0.000 040	X₅	电子屏	0.000 010
X₂	基带	0.000 020	X₆	电池故障	0.000 067
X₃	天线	0.000 023	X₇	电池故障	0.000 067
X₄	耳塞	0.000 040	-	-	-

W₁		1	2
W₂	1	F_W₂	F_W₂
W₂	2	R_W₂	R_W₂

Reliability analysis of command and control network system based on generalized continuous time Bayesian network

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