Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)

The Simulation Evaluation System Fuzzy Reliability Based on Fuzzy Fault Tree

Authors
Haidong Du, Junhai Cao, Shen Ying, Lingwei Li
Corresponding Author
Haidong Du
Available Online April 2019.
DOI
10.2991/smont-19.2019.2How to use a DOI?
Keywords
fuzzy; markov process; reliability; simulation
Abstract

For the indeterminism problem existing in dynamic reliability of complex system, the thesis presents the simulation analyze method for reliability based on fuzzy Markov process. Firstly, a reliability model according to the fuzzy theory and fault tree was described; and then, the paper study the transformation method between dynamic fault tree and Markov process, the evaluation model for fuzzy dynamic reliability question was built, and a Monte Carlo simulation for fuzzy reliability membership was given. And last, the scientificity and effectiveness of method was proved by the example of internal combustion engine.

Copyright
© 2019, 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 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
Series
Advances in Intelligent Systems Research
Publication Date
April 2019
ISBN
10.2991/smont-19.2019.2
ISSN
1951-6851
DOI
10.2991/smont-19.2019.2How to use a DOI?
Copyright
© 2019, 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  - Haidong Du
AU  - Junhai Cao
AU  - Shen Ying
AU  - Lingwei Li
PY  - 2019/04
DA  - 2019/04
TI  - The Simulation Evaluation System Fuzzy Reliability Based on Fuzzy Fault Tree
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 6
EP  - 8
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.2
DO  - 10.2991/smont-19.2019.2
ID  - Du2019/04
ER  -