Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)

Reliability Analysis of Gas Turbine Based on Analytic Hierarchy Process and FTA

Authors
Zhigang Bai
Corresponding Author
Zhigang Bai
Available Online January 2019.
DOI
10.2991/mmssa-18.2019.44How to use a DOI?
Keywords
reliability analysis; analytic hierarchy process; FTA
Abstract

Gas turbine generator sets have complex structures and poor operating conditions, which place high demands on the reliability of components. Aiming at the structural characteristics of gas turbine generator sets, combined with the latest theory of reliability analysis development, based on the characteristics of the hierarchical structure of fault tree model, the combination of hierarchical analysis method and fault tree model is proposed to analyze the reliability of complex mechanical systems. In this paper, combined with the gas turbine startup failure, this method is applied to the analysis of the fault. The results show that this method is feasible and effective.

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 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
January 2019
ISBN
10.2991/mmssa-18.2019.44
ISSN
1951-6851
DOI
10.2991/mmssa-18.2019.44How 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  - Zhigang Bai
PY  - 2019/01
DA  - 2019/01
TI  - Reliability Analysis of Gas Turbine Based on Analytic Hierarchy Process and FTA
BT  - Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
PB  - Atlantis Press
SP  - 183
EP  - 186
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmssa-18.2019.44
DO  - 10.2991/mmssa-18.2019.44
ID  - Bai2019/01
ER  -