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贝叶斯网络在多态系统可靠性分析中的应用
引用本文:周忠宝,马超群,周经伦. 贝叶斯网络在多态系统可靠性分析中的应用[J]. 哈尔滨工业大学学报, 2009, 41(6): 232-235
作者姓名:周忠宝  马超群  周经伦
作者单位:湖南大学,工商管理学院,长沙,410082;国防科技大学,信息系统与管理学院,长沙,410073
基金项目:国家杰出青年科学基金 
摘    要:针对多态元件组成的二态系统可靠性定量分析的难点,提出了一种基于贝叶斯网络的分析方法.该方法首先将多态故障树转化成贝叶斯网络,然后利用该网络计算各事件发生概率和元件重要度.同时利用该贝叶斯网络还可以得到其他一些有意义的结果,可用于系统故障诊断和实时监控.通过一个供电系统实例说明了该方法的有效性.

关 键 词:贝叶斯网络  多态系统  重要度  故障诊断  供电系统

Application of Bayesian networks is reliability analysis of binary-state system with multi-state components
ZHOU Zhong-bao,MA Chao-qun,ZHOU Jing-lun. Application of Bayesian networks is reliability analysis of binary-state system with multi-state components[J]. Journal of Harbin Institute of Technology, 2009, 41(6): 232-235
Authors:ZHOU Zhong-bao  MA Chao-qun  ZHOU Jing-lun
Affiliation:1. School of Business Administration,Hunan University,Changsha 410082,China, 2. School of Information System & Management,National University of Defense Technology,Changsha 410073,China)
Abstract:According to the difficulty of quantitative reliability analysis for binary-state system with multi-state components,a new method based on Bayesian networks is proposed. Multi-state fault tree was converted into Bayesian networks firstly,then the probability of each event and the importance of each component were calculated. And additional information used for failure diagnosis and real-time monitoring was obtained at the same time. The correctness of this method was validated through an example of power supply system.
Keywords:Bayesian networks  multi-state system  importance measures  failure diagnosis  power supply system
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