Application of Bayesian network in Production Line System Reliability Analysis

DOI

10.2991/icammce-18.2018.45How to use a DOI?

Keywords

Bayesian network, Multi-failure mode, Reliability analysis, Production line

Abstract

Considering the multi-state and uncertainty of causality in complex systems, a method for reliability modeling and assessment of a multi-state system based on Bayesian Network (BN) is proposed by using the advantage of uncertainty reasoning and multi-state expression of BN. The proposed method is able to identify the system weakness through calculating the system reliability on the basis of multi-state probabilities of elements. The model is applied to a production line system to verify its effectiveness.

Copyright

© 2018, 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
PY  - 2018/05
DA  - 2018/05
TI  - Application of Bayesian network in Production Line System Reliability Analysis
BT  - Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018)
PB  - Atlantis Press
SP  - 197
EP  - 201
SN  - 2352-5401
UR  - https://doi.org/10.2991/icammce-18.2018.45
DO  - 10.2991/icammce-18.2018.45
ID  - Zhai2018/05
ER  -