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

Design of reliable system based on Dynamic Bayesian Networks and Genetic Algorithm

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

3 Author(s)
Dingzhou Cao ; ReliaSoft Corp., Tucson, AZ, USA ; Shaobai Kan ; Yu Sun

Traditional approaches to the design of a reliable system follow system requirement analysis, preliminary design, detail design, and evaluation and redesign phases until a final acceptable design is obtained. However, to achieve a shorter time to market, system reliability concerns should be addressed at the design stage (“design for reliability”). In this paper, we propose a reliability optimization framework based on Dynamic Bayesian Networks (DBN) and Genetic Algorithm (GA) which considers system reliability as a design parameter in design stages and can accelerate the design process of a reliable system. The majority of solution methods for reliability optimization problems are based on simple system structures (series, parallel, or k-out-of-n) without component dependency. In this paper, we extend it to a more complicated system with dynamic behavior. In order to capture the different dynamic behaviors of a system, DBN is used to estimate the system reliability of a potential design. Two basic DBN structures “CHOICE” and “REDUNDANCY” are introduced in this study. GA is developed and integrated into a DBN to find the optimal design. Simulation results show that the integration of GA optimization capabilities with DBN provides a robust, powerful system-design tool. Finally, the proposed method is applied to an example of a cardiac-assist system.

Published in:

Reliability and Maintainability Symposium (RAMS), 2012 Proceedings - Annual

Date of Conference:

23-26 Jan. 2012

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.