Fuzzy-Logic-Based Safety Verification Framework for Nuclear Power Plants

被引：11

作者：

Rastogi, Achint ^{[1
]}

Gabbar, Hossam A. ^{[1
]}

机构：

[1] UOIT, Fac Energy Syst & Nucl Sci, Oshawa, ON L1H 7K4, Canada

来源：

RISK ANALYSIS | 2013年 / 33卷 / 06期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Fuzzy logic; NPP safety; nuclear power plant safety; safety verification;

D O I：

10.1111/j.1539-6924.2012.01899.x

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

This article presents a practical implementation of a safety verification framework for nuclear power plants (NPPs) based on fuzzy logic where hazard scenarios are identified in view of safety and control limits in different plant process values. Risk is estimated quantitatively and compared with safety limits in real time so that safety verification can be achieved. Fuzzy logic is used to define safety rules that map hazard condition with required safety protection in view of risk estimate. Case studies are analyzed from NPP to realize the proposed real-time safety verification framework. An automated system is developed to demonstrate the safety limit for different hazard scenarios.

引用

页码：1128 / 1145

页数：18

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