Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7195830 | Reliability Engineering & System Safety | 2014 | 7 Pages |
Abstract
Reliability modeling of multi-state hierarchical systems is challenging because of the complex system structures and imbalanced reliability information available at different system levels. This paper proposes a Bayesian multi-level information aggregation approach to model the reliability of multi-level hierarchical systems by utilizing all available reliability information throughout the system. Cascading failure dependency among components and/or sub-systems at the same level is explicitly considered. The proposed methodology can significantly improve the accuracy of system-level reliability modeling. A case study demonstrates the effectiveness of the proposed methodology.
Related Topics
Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
Mingyang Li, Jian Liu, Jing Li, Byoung Uk Kim,