Risk-based optimization model for system maintenance scheduling

Author

Bo Xu ; Xueshan Han ; Yong Wang ; Donglei Sun

Author_Institution

Key Lab. of Power Syst. Intell. Dispatch & Control of Minist. of Educ., Shandong Univ., Jinan, China

fYear

2012

fDate

Oct. 30 2012-Nov. 2 2012

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

condition monitoring; fault diagnosis; genetic algorithms; maintenance engineering; risk management; CBM; condition-based maintenance; failure rate functions; failure risk; genetic algorithm; risk-based optimization model; system availability optimization; system component reliability; system cost optimization; system maintenance risk; system maintenance scheduling problem; system reliability constraint; Indexes; Maintenance engineering; Reliability; Condition based maintenance; genetic algorithm; maintenance scheduling; system reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Auckland

Print_ISBN

978-1-4673-2868-5

Type

conf

DOI

10.1109/PowerCon.2012.6401315

Filename

6401315