Title :
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
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;
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2015 Annual
Conference_Location :
Palm Harbor, FL
Print_ISBN :
978-1-4799-6702-5
DOI :
10.1109/RAMS.2015.7105126
