Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)

A New Analytical Method of Standby System Reliability Model

Authors
Peng Di, Tong Chen, Bin Hu, Dongliang Yin
Corresponding Author
Peng Di
Available Online May 2018.
DOI
https://doi.org/10.2991/iceesd-18.2018.204How to use a DOI?
Keywords
general distribution; N-units; warm standby; system reliability
Abstract

Aiming at the problem that the system reliability modeling constraints are too strict in the past studies. A general distribution which approximates an arbitrary distribution is utilized for the N-units warm standby system that has a single maintenance station. The lifetime and repair time of operating and standby units are assumed by the distribution to obtained for a series of reliability parameters, such as system steady-state availability, mean time between failures, ect. Finally, the correctness and applicability of this method are verified by an example analysis.

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 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-503-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceesd-18.2018.204How 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  - Peng Di
AU  - Tong Chen
AU  - Bin Hu
AU  - Dongliang Yin
PY  - 2018/05
DA  - 2018/05
TI  - A New Analytical Method of Standby System Reliability Model
BT  - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
PB  - Atlantis Press
SP  - 1116
EP  - 1122
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-18.2018.204
DO  - https://doi.org/10.2991/iceesd-18.2018.204
ID  - Di2018/05
ER  -