Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method
Joint Authors
Zhao, Jie
Liu, Dichen
Zhao, Yu
Liu, Tian
Yang, Xiaodong
Lin, Yi
Lin, Zhangsui
Lei, Yong
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-08
Country of Publication
Egypt
No. of Pages
10
Abstract EN
NPP’s power supply system is repairable and there is common cause failure between the components.
The repair rate is introduced and total signaling is considered in the improved GO-FLOW method, aimed at reliability analysis for NPP’s power supply system.
Traditional GO-FLOW operators’ algorithms are improved.
Comprehensively considering the effect of total signaling flow in the power supply system, the equivalent reliability parameter model and common cause failure probability model of multimodal repairable components are constructed.
The improved GO-FLOW model of NPP’s power supply system is set up.
Based on the proposed model, components’ reliability parameters are computed.
The failure probability time-varying trend in thirty years, respectively, of NPP’s offsite power source and power supply system, is simulated and analyzed.
Compared with calculation results of dynamic fault tree analysis method, the validity and the simplicity of the improved GO-FLOW method are verified.
The effectiveness and applicability of the improved GO-FLOW model for NPP’s power supply system are proved by simulation examples.
American Psychological Association (APA)
Zhao, Jie& Liu, Tian& Zhao, Yu& Liu, Dichen & Yang, Xiaodong& Lin, Yi…[et al.]. 2016. Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method. Science and Technology of Nuclear Installations،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1118526
Modern Language Association (MLA)
Zhao, Jie…[et al.]. Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method. Science and Technology of Nuclear Installations No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1118526
American Medical Association (AMA)
Zhao, Jie& Liu, Tian& Zhao, Yu& Liu, Dichen & Yang, Xiaodong& Lin, Yi…[et al.]. Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method. Science and Technology of Nuclear Installations. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1118526
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118526
