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基于贝叶斯网络的复杂系统FMEA模型
引用本文:史宪铭,王华伟.基于贝叶斯网络的复杂系统FMEA模型[J].兵工自动化,2004,23(2):27-29.
作者姓名:史宪铭  王华伟
作者单位:国防科技大学,系统工程研究所,湖南,长沙,410073;国防科技大学,系统工程研究所,湖南,长沙,410073
摘    要:贝叶斯网络用因果关系图的形式表达变量间相互关系,实现复杂系统的故障模式和效应分析.贝叶斯网络建模先确定模型变量,根据变量间因果关系确定网络的拓扑结构.再为贝叶斯网络赋值,确定先验概率和条件概率.并通过融合新的试验信息与专家信息,改进网络结构,作最后的统计推断.

关 键 词:故障模式  效应分析  贝叶斯网络  发展系统
文章编号:1006-1576(2004)02-0027-03
修稿时间:2003年7月4日

FMEA Model of Complex System Based on Bayesian Networks
SHI Xian-ming,WANG Hua-wei.FMEA Model of Complex System Based on Bayesian Networks[J].Ordnance Industry Automation,2004,23(2):27-29.
Authors:SHI Xian-ming  WANG Hua-wei
Abstract:Variable correlation is expressed with consequence graph in Bayesian Networks (BN),analysis of failure mode and effect of complex system is realized. BN modeling step is to decide model variables, and decide the network topology based on variable consequence. The second step is to evaluate for BN, decide prior probability and conditional probability. The third step is to fuse test and expert information, and then improve the topology of network and get conclusion.
Keywords:Failure mode  Effect analysis  Bayesian networks  Development system
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