Bayesian Networks Application in Multi-State System Reliability Analysis

DOI

10.2991/isccca.2013.75How to use a DOI?

Keywords

multi-state, Bayesian network, system reliability, reasoning, modeling

Abstract

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.

Copyright

© 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/).

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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  -