Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018)

Application of Bayesian network in Production Line System Reliability Analysis

Authors
Sheng Zhai
Corresponding Author
Sheng Zhai
Available Online May 2018.
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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Volume Title
Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-525-2
ISSN
2352-5401
DOI
10.2991/icammce-18.2018.45How to use a DOI?
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/).

Cite this article

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  -