Cart (Loading....) | Create Account
Close category search window
 

Introducing dynamics in a fault diagnostic application using Bayesian Belief Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Lampis, M. ; Aeronaut. & Automotive Eng. Dept., Loughborough Univ., Loughborough, UK ; Andrews, J.

Fault diagnostic techniques are required to determine whether a fault has occurred in a system and to identify the component failures that may have caused it. This task can be complicated when dealing with complex systems and dynamic behaviour, in particular, introduces further difficulties. This paper presents a method for fault detection on dynamic systems using Bayesian Belief Networks (BBNs). Possible trends are identified for the variables in the systems that are monitored by the sensors. Fault Trees (FTs) are built to represent the causality of the trends and these are then converted into BBNs. The networks developed for different sections are connected together to form a unique concise network. For a combination of sensors which deviate from the expected trends, calculating the updated probability enables a list of potential causes for the system scenarios to be obtained. A simple water tank system has been used to validate the method.

Published in:

Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on

Date of Conference:

20-24 July 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.