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

Evaluation of Maintenance Policies using Markov Chains and Fault Tree Analysis

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)
Neuman, C.P. ; Department of electrical Engineering/Carnegie-Mellon University/Pittsburgh, Pennsylvania 15213. USA ; Bonhomme, N.M.

Reliability analyses of multi-component systems can often be refined by combining Markov-chain models for detailed component characterizations with fault-tree evaluation techniques for describing over-all system behavior. A difficulty encountered in the application of this combined approach is that component maintenance policies can induce statistical dependence among component failures. Thereby, straightforward evaluation of overall system characteristics based upon the assumption of statistically independent component failures can lead to erroneous conclusions. This paper examines the effect of dependent component failures, as induced by the component maintenance policies, on system performance; and it demonstrates that for certain types of maintenance policies (when component maintenance is independent of the condition of the other system components), meaningful results can be obtained by assuming the independence of component failures. The feasibility of the proposed approach is illustrated through a maintenance scheduling problem in nuclear engineering practice.

Published in:

Reliability, IEEE Transactions on  (Volume:R-24 ,  Issue: 1 )

Date of Publication:

April 1975

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.