Application of dynamic fault tree in reliability assessment of reactor protection system

Background Reactor protection system (RPS) has complex structure, numerous equipment, and continuous failure behaviors. The traditional static fault tree cannot accurately simulate the sequential failure behaviors of the RPS. Purpose This study aims to obtain the failure probabil...

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Main Authors: LI Xueli, GE Daochuan, LIN Zhixian, WANG Shaoxuan, WANG Jianye
Format: Article
Language:zho
Published: Science Press 2021-10-01
Series:He jishu
Subjects:
Online Access:http://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2021.hjs.44.100605&lang=zh
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author LI Xueli
GE Daochuan
LIN Zhixian
WANG Shaoxuan
WANG Jianye
author_facet LI Xueli
GE Daochuan
LIN Zhixian
WANG Shaoxuan
WANG Jianye
author_sort LI Xueli
collection DOAJ
description Background Reactor protection system (RPS) has complex structure, numerous equipment, and continuous failure behaviors. The traditional static fault tree cannot accurately simulate the sequential failure behaviors of the RPS. Purpose This study aims to obtain the failure probability of related system of RPS and the sensitivity of each component by simulating the sequential failure behaviors of RPS, and provide suggestions for the optimal design and optimization of RPS in the future. Methods First of all, the dynamic fault tree (DFT) modeling tools was employed to model the reliability of the RPS, a dynamic binary tree method was applied to quantitative analysis of the DFT model. Then, the Latin hypercube sampling method was adopted to quantitatively analyze the uncertainty of the RPS failure probability, and compared with the traditional static fault tree method under the same conditions. Results Simulation results show that the failure probability with 0.95 confidence interval of RPS is 0.015 306~0.015 721. The two most sensitive components are the undervoltage drive card and the undervoltage relay. Conclusions DFT can accurately simulate the reliability of RPS, and provide more accurate results, which is beneficial for optimization design in the future.
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spelling doaj.art-d7872ef67a154542aee7c1e19319bf4d2023-02-08T00:42:07ZzhoScience PressHe jishu0253-32192021-10-014410717810.11889/j.0253-3219.2021.hjs.44.1006050253-3219(2021)10-0071-08Application of dynamic fault tree in reliability assessment of reactor protection systemLI Xueli0GE Daochuan1LIN Zhixian2WANG Shaoxuan3WANG Jianye4 Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China Background Reactor protection system (RPS) has complex structure, numerous equipment, and continuous failure behaviors. The traditional static fault tree cannot accurately simulate the sequential failure behaviors of the RPS. Purpose This study aims to obtain the failure probability of related system of RPS and the sensitivity of each component by simulating the sequential failure behaviors of RPS, and provide suggestions for the optimal design and optimization of RPS in the future. Methods First of all, the dynamic fault tree (DFT) modeling tools was employed to model the reliability of the RPS, a dynamic binary tree method was applied to quantitative analysis of the DFT model. Then, the Latin hypercube sampling method was adopted to quantitatively analyze the uncertainty of the RPS failure probability, and compared with the traditional static fault tree method under the same conditions. Results Simulation results show that the failure probability with 0.95 confidence interval of RPS is 0.015 306~0.015 721. The two most sensitive components are the undervoltage drive card and the undervoltage relay. Conclusions DFT can accurately simulate the reliability of RPS, and provide more accurate results, which is beneficial for optimization design in the future.http://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2021.hjs.44.100605&lang=zhdynamic fault treedynamic binary treereliabilitylatin hypercube samplingnuclear power plant
spellingShingle LI Xueli
GE Daochuan
LIN Zhixian
WANG Shaoxuan
WANG Jianye
Application of dynamic fault tree in reliability assessment of reactor protection system
He jishu
dynamic fault tree
dynamic binary tree
reliability
latin hypercube sampling
nuclear power plant
title Application of dynamic fault tree in reliability assessment of reactor protection system
title_full Application of dynamic fault tree in reliability assessment of reactor protection system
title_fullStr Application of dynamic fault tree in reliability assessment of reactor protection system
title_full_unstemmed Application of dynamic fault tree in reliability assessment of reactor protection system
title_short Application of dynamic fault tree in reliability assessment of reactor protection system
title_sort application of dynamic fault tree in reliability assessment of reactor protection system
topic dynamic fault tree
dynamic binary tree
reliability
latin hypercube sampling
nuclear power plant
url http://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2021.hjs.44.100605&lang=zh
work_keys_str_mv AT lixueli applicationofdynamicfaulttreeinreliabilityassessmentofreactorprotectionsystem
AT gedaochuan applicationofdynamicfaulttreeinreliabilityassessmentofreactorprotectionsystem
AT linzhixian applicationofdynamicfaulttreeinreliabilityassessmentofreactorprotectionsystem
AT wangshaoxuan applicationofdynamicfaulttreeinreliabilityassessmentofreactorprotectionsystem
AT wangjianye applicationofdynamicfaulttreeinreliabilityassessmentofreactorprotectionsystem