Using Bayesian belief networks to predict the reliability of military vehicles

被引：52

作者：

Neil, M ^{[1
]}

Fenton, N

Forey, S

Harris, R

机构：

[1] Univ London, Queen Mary, London WC1E 7HU, England

[2] DERA Land Syst, Chertsey, England

来源：

COMPUTING & CONTROL ENGINEERING JOURNAL | 2001年 / 12卷 / 01期

关键词：

D O I：

10.1049/cce:20010103

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Predicting the reliability of military vehicles has traditionally concentrated on estimation using failure data gathered during trials or use. However, it is increasingly recognised that predicting reliability earlier in the life cycle, using design and process capability evidence, is one way of improving predictions and positively influencing reliability. This article presents the use of Bayesian belief networks (BBNs) as a decision support tool to achieve these twin goals. The BBN models presented are built into the TRACS software tool, which is in daily use within DERA Land Systems.

引用

页码：11 / 20

页数：10