基于贝叶斯网络的GO法模型算法

被引:23
作者
刘林林
任羿
王自力
杨德真
机构
[1] 北京航空航天大学可靠性与系统工程学院
关键词
GO法; 贝叶斯网络; 可靠性建模; 故障诊断; 模型算法;
D O I
暂无
中图分类号
TP18 [人工智能理论]; TH165.3 [];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ; 080202 ;
摘要
GO法是评价具有多状态时序特性的复杂系统可靠性的有效方法,但GO法操作符众多、算法复杂并且缺乏工具软件支持,制约了GO法的工程应用。针对该问题,本文提出一种基于贝叶斯网络的GO法新算法。首先,定义常用操作符到贝叶斯网络节点映射规则;然后,给出GO模型映射转换为贝叶斯网络的可编程流程;最后,利用贝叶斯网络成熟工具支持,定量求解映射后的贝叶斯网络模型。新算法操作符映射规则统一,模型映射转换流程简单直观,便于工程人员掌握和应用。此外,除了能得出传统的定量结果,新算法使得GO法还具有故障推理和诊断能力。
引用
收藏
页码:212 / 218
页数:7
相关论文
共 17 条
[1]  
贝叶斯网络理论在装备故障诊断中的应用.[M].李海军等; 编著.国防工业出版社.2009,
[2]  
GO法原理及应用.[M].沈祖培;黄祥瑞编著;.清华大学出版社.2004,
[3]  
Using Bayesian networks in reliability evaluation for subsea blowout preventer control system.[J].Baoping Cai;Yonghong Liu;Zengkai Liu;Xiaojie Tian;Xin Dong;Shilin Yu.Reliability Engineering and System Safety.2012,
[4]  
An automated method for estimating reliability of grid systems using Bayesian networks.[J].Ozge Doguc;Jose Emmanuel Ramirez-Marquez.Reliability Engineering and System Safety.2012,
[5]  
Overview on Bayesian networks applications for dependability; risk analysis and maintenance areas.[J].P. Weber;G. Medina-Oliva;C. Simon;B. Iung.Engineering Applications of Artificial Intelligence.2010, 4
[6]   Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches [J].
Khakzad, Nima ;
Khan, Faisal ;
Amyotte, Paul .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2011, 96 (08) :925-932
[7]  
Bayesian networks in reliability.[J].Helge Langseth;Luigi Portinale.Reliability Engineering and System Safety.2005, 1
[8]   An exact algorithm dealing with shared signals in the GO methodology [J].
Zupei, S ;
Jia, G ;
Huang, XR .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2001, 73 (02) :177-181
[9]   Improving the analysis of dependable systems by mapping fault trees into Bayesian networks [J].
Bobbio, A ;
Portinale, L ;
Minichino, M ;
Ciancamerla, E .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2001, 71 (03) :249-260
[10]   A Bayesian approach to an adaptive preventive maintenance model [J].
Sheu, SH ;
Yeh, RH ;
Lin, YB ;
Juang, MG .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2001, 71 (01) :33-44