RELIABILITY ANALYSIS FOR POWER SUPPLY SYSTEM IN A TYPICAL REPROCESSING FACILITY BASED ON GO METHODOLOGY

被引:0
|
作者
Wang Renze [1 ]
Feng Zongyang [1 ]
Li Pengbo [1 ]
机构
[1] China Inst Radiat Protect, Dept Nucl Emergency & Nucl Safety, Taiyuan 030006, Shanxi, Peoples R China
关键词
QUANTIFICATION ALGORITHM; REPAIRABLE SYSTEM; FLOW;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Since the nuclear energy industry in China has developed rapidly, the demand for spent fuel reprocessing is becoming more and more distinct. In a reprocessing facility, power supply system (PSS) is important for operation-stability and safety-guarantee of the whole facility. Therefore, the reliability of the PSS deserves in-depth investigation and analysis. Fault tree (FT) methodology is the most accustomed methodology for system-reliability analysis and it has been standardized and applied widely. GO methodology is another effective methodology for system-reliability analysis but it has not been applied widely. In this work, GO methodology was applied to analyze the reliability of the PSS in a typical reprocessing facility. First, for modeling expediently, based on the fact that tie breakers are set in the system, tie breaker operator was defined by myself. Then, GO methodology modeling and quantitative analysis were performed, minimal cut sets (MCSs) and average unavailability of the system were obtained. Finally, parallel analysis between GO methodology and fault tree methodology was also performed. The results from the two methodologies are completely coincident. The results of this work show the following two points: 1. Setup of tie breakers in the PSS of the reprocessing facility is rational and necessary; 2. For reliability analysis of the PSS of the reprocessing facility, parallel with fault tree methodology, GO methodology has two distinct advantages: Its modeling is much easier and its chart is much more succinct.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Fault-tree analysis of criticality in a pulsed column of a typical reprocessing facility
    Nomura, Y
    Naito, Y
    NUCLEAR TECHNOLOGY, 1998, 121 (01) : 3 - 13
  • [32] Reliability Analysis of Power Supply based on Recursive Algorithm
    Ma Weiqing
    Zhang Huiming
    Kang Chaoqun
    Zhang Ye
    2014 5TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS), 2014, : 327 - 330
  • [33] Improvement of the go-flow methodology - Reliability analysis of a continuously maintained system
    Matsuoka, T
    PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT, VOL I AND II, PROCEEDINGS, 2002, : 385 - 390
  • [34] Reliability and Availability Analysis Methodology for Power System Protection Schemes
    dos Santos, Andre
    Correia, P. F.
    Correia de Barros, M. T.
    2014 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2014,
  • [35] High Reliability Microgrid for a Nuclear Facility Emergency Power Supply
    Lekhema, Gerard R.
    Cronje, Willem A.
    Korir, Ian
    JOURNAL OF NUCLEAR ENGINEERING AND RADIATION SCIENCE, 2020, 8 (03):
  • [36] Reliability analysis of emergency core cooling system in lose of coolant accident based on GO-FLOW methodology
    College of Naval Architecture and Power, Naval University of Engineering, Wuhan 430033, China
    Yuanzineng Kexue Jishu, 2008, SUPPL. (142-145): : 142 - 145
  • [37] Reliability Analysis of Aircraft Fuel Closed-loop Control System Based on GO Methodology and Markov Process
    Li J.
    Lin W.
    Jiang X.
    Lu Y.
    Binggong Xuebao/Acta Armamentarii, 2022, 43 (06): : 1447 - 1455
  • [38] RELIABILITY ANALYSIS OF REPAIRABLE SYSTEM WITH MULTIPLE-INPUT AND MULTI-FUNCTION COMPONENT BASED ON GO METHODOLOGY
    Yi, Xiaojian
    Shi, Jian
    Mu, Huina
    Dong, Haiping
    Zhang, Zhong
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2015, VOL. 14, 2016,
  • [39] Management of reliability of power supply system
    Belousenko, I.V.
    Golubev, S.V.
    Dil'man, M.D.
    Popyrin, L.S.
    Gazovaya Promyshlennost, 2004, (07): : 64 - 67
  • [40] Reliability Assessment of avionic device Based on GO Methodology
    Yin Zong-run
    Mu Xiao-dong
    7TH INTERNATIONAL CONFERENCE ON SYSTEM SIMULATION AND SCIENTIFIC COMPUTING ASIA SIMULATION CONFERENCE 2008, VOLS 1-3, 2008, : 76 - 78