The use of Bayesian network modelling for maintenance planning in a manufacturing industry

被引：223

作者：

Jones, B. ^{[1
]}

Jenkinson, I. ^{[1
]}

Yang, Z. ^{[1
]}

Wang, J. ^{[1
]}

机构：

[1] Liverpool John Moores Univ, Liverpool L3 5UX, Merseyside, England

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2010年 / 95卷 / 03期

关键词：

Maintenance; Inspection maintenance; Environment; Bayesian network modelling; Delay-time analysis;

D O I：

10.1016/j.ress.2009.10.007

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper has been written in order to apply Bayesian network modelling to a maintenance and inspection department. The primary aim of this paper is to establish and model the various parameters responsible for the failure rate of a system, using Bayesian network modelling, in order to apply it to a delay-time analysis study. The use of Bayesian network modelling allows certain influencing events to be considered which can affect parameters relating to the failure rate of a system. Bayesian network modelling also allows these influencing events to change and update depending on the influencing data available at any given tithe, thus changing the failure rate or probability of failure. A methodology has been developed and applied to a case study in order to demonstrate the process involved. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：267 / 277

页数：11

共 19 条

[1] Operations strategy and flexibility: modeling with Bayesian classifiers [J].