Proceedings of the Korean Operations and Management Science Society Conference (한국경영과학회:학술대회논문집)
- 2003.11a
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- Pages.346-349
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- 2003
An Application of Markov Chain and Bayesian Network for Dynamic System Reliability Assessment
동적 시스템의 신뢰도 평가를 위한 마코프체인과 베이지안망의 적용에 관한 연구
- Ahn, Suneung (Department of Industrial Engineering, Hanyang University) ;
- Koo, Jungmo (Department of Industrial Engineering, Hanyang University)
- Published : 2003.11.01
Abstract
This paper is intended to assess a system reliability that is changed as time passes. The proposed methodology consists of two steps: (1) predicting probabilities that each component fails at specific time by using a Markov Chain model and (2) calculating reliability of the whole system via Bayesian network. The proposed methodology includes extended Bayesian network model reflecting the case that components are mutually dependent.
Keywords