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.
Original language | English (US) |
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Pages (from-to) | 158-164 |
Number of pages | 7 |
Journal | Reliability Engineering and System Safety |
Volume | 124 |
DOIs | |
State | Published - Apr 2014 |
Keywords
- Bayesian networks
- Hierarchical structure
- Multiple failure states
- Prior elicitation
- System reliability
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Industrial and Manufacturing Engineering