Reliability analysis of hierarchical systems based on Bayesian network

被引：0

作者：

Liu Y. ^{[1
]}

Han F. ^{[1
]}

Yan K. ^{[1
]}

Lu X.-C. ^{[1
,2
]}

机构：

[1] Department of No. 5, Northwest Institute of Nuclear Technology, Xi'an

[2] Science and Technology on High Power Microwave Laboratory, Northwest Institute of Nuclear Technology, Xi'an

来源：

Hangkong Dongli Xuebao/Journal of Aerospace Power | 2016年 / 31卷 / 06期

关键词：

Bayesian method; Bayesian network; Cascading failure; Hierarchical systems; Reliability;

D O I：

10.13224/j.cnki.jasp.2016.06.014

中图分类号：

学科分类号：

摘要：

Reliability modeling of hierarchical systems is significantly difficult because of the complex system structures and imbalanced reliability information at different system levels. A Bayesian network reliability analysis methodology was proposed to model the reliability of binary-state hierarchical systems considering the combination of Bayesian network and Bayesian information aggregation approach to represent the failure relationship among system elements. An example illustrated that, the proposed methodology can significantly improve the accuracy of system-level reliability modeling and reduce the variances of the posterior failure distribution of system by considering the cascading failure dependency and utilizing all available reliability information throughout the system. © 2016, Editorial Department of Journal of Aerospace Power. All right reserved.

引用

页码：1385 / 1392

页数：7

共 21 条

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