A Bayesian approach for a complex system utilizing imperfect information

Author

Lechang Yang ; Jianguo Zhang ; Pidong Wang ; Yanling Guo

Author_Institution

Sci. & Technol. on Reliability & Environ. Eng. Lab., Beihang Univ., Beijing, China

fYear

2015

fDate

26-29 Jan. 2015

Firstpage

1

Lastpage

7

Abstract

This paper presents a Bayesian-based information aggregation approach addressing two critical issues in modeling hierarchical systems, (i) the information imbalance between adjacent levels in multi-level systems, and (ii) the limitation of utilizing multi-type reliability test data embedded in conventional proposals. The proposed methodology can significantly improve the accuracy of system-level reliability modeling by aggregating information throughout the hierarchical system.

Keywords

Bayes methods; hierarchical systems; large-scale systems; Bayesian-based information aggregation approach; complex system; hierarchical systems; imperfect information; information imbalance; multilevel systems; multitype reliability test data; system-level reliability modeling; Aggregates; Bayes methods; Hierarchical systems; Mathematical model; Probability distribution; Reliability engineering; hierarchical structure; information aggregation; multi-level; multi-type test data;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability and Maintainability Symposium (RAMS), 2015 Annual

Conference_Location

Palm Harbor, FL

Print_ISBN

978-1-4799-6702-5

Type

conf

DOI

10.1109/RAMS.2015.7105126

Filename

7105126