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

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

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Article ID: iaor20101055
Volume: 95
Issue: 3
Start Page Number: 267
End Page Number: 277
Publication Date: Mar 2010
Journal: Reliability Engineering and System Safety
Authors: , , ,
Keywords: inspection
Abstract:

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 time, 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.

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