Use of a success-oriented GO-FLOW method for system configuration risk management at NPPs
| Autor: | Ming Yang, Dingqing Guo, Ming Wang, Jun Yang, Bing Zhang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Scheme (programming language)
Computer science business.industry Event (computing) 020209 energy Flow method 02 engineering and technology System configuration Nuclear power 01 natural sciences 010305 fluids & plasmas Tree (data structure) Nuclear Energy and Engineering Risk analysis (engineering) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering business computer Reliability (statistics) Risk management computer.programming_language |
| Zdroj: | Annals of Nuclear Energy. 143:107452 |
| ISSN: | 0306-4549 |
| DOI: | 10.1016/j.anucene.2020.107452 |
| Popis: | In this paper, a framework of improved risk monitor system that integrates multiple applications of retrospective investigation analysis of risk factors, point-in-time risk monitoring and proactive risk management is presented. Among these applications capabilities, the plant configuration risk management is implemented and demonstrated with a safety injection system in the event of medium-break LOCA at nuclear power plants. The system reliability and safety analysis are conducted on the success-oriented logic models using GO-FLOW method. Both quantitative and qualitative risk measures addressed respectively by risk matrix and goal tree-success tree scheme with risk band display could provide global risk insights regarding plant configuration control. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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