Bayesian Networks Application in Multi-State System Reliability Analysis
- 10.2991/isccca.2013.75How to use a DOI?
- multi-state, Bayesian network, system reliability, reasoning, modeling
Aiming at the limitations of traditional reliability analysis theory in multi-state system, a method for reliability modeling and assessment of a multi-state system based on Bayesian Network (BN) is proposed with the advantages of uncertain reasoning and describing multi-state of event. Through the case of cell production line system, in this paper we will discuss how to establish and construct a multi-state system model based on Bayesian network, and how to apply the prior probability and posterior probability to do the bidirectional inference analysis, and directly calculate the reliability indices of the system by means of prior probability and Conditional Probability Table (CPT) . Thereby we can do the qualitative and quantitative analysis of the multi-state system reliability, identify the weak links of the system, and achieve assessment of system reliability.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Sheng Zhai AU - Shuzhong Lin PY - 2013/02 DA - 2013/02 TI - Bayesian Networks Application in Multi-State System Reliability Analysis BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013) PB - Atlantis Press SP - 307 EP - 311 SN - 1951-6851 UR - https://doi.org/10.2991/isccca.2013.75 DO - 10.2991/isccca.2013.75 ID - Zhai2013/02 ER -