By Topic

Risk-based optimization model for system maintenance scheduling

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

4 Author(s)
Bo Xu ; Key Lab. of Power Syst. Intell. Dispatch & Control of Minist. of Educ., Shandong Univ., Jinan, China ; Xueshan Han ; Yong Wang ; Donglei Sun

In the context of Condition Based Maintenance (CBM), this paper presents a risk-based optimization model for system maintenance scheduling problem. It consists on optimizing availability and cost of the system by balancing between system maintenance risk and failure risk. In this paper, system reliability constraint is considered. Reliability of system components is characterized by their failure rate functions. Possible maintenance actions are performed to improve the reliability of the system. Genetic algorithm is used to obtain the sequence of maintenance actions providing desired level of reliability with minimum system risk. Numeral results demonstrate effectiveness of the proposed model.

Published in:

Power System Technology (POWERCON), 2012 IEEE International Conference on

Date of Conference:

Oct. 30 2012-Nov. 2 2012