Nuclear Power Plant Instrumentation Fault Detection Using Fuzzy Logic

被引：9

作者：

Holbert, Keith E. ^{[1
]}

Lin, Kang ^{[1
]}

机构：

[1] Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA

来源：

SCIENCE AND TECHNOLOGY OF NUCLEAR INSTALLATIONS | 2012年 / 2012卷

关键词：

STEAM-GENERATOR; DIAGNOSIS; SYSTEM; SENSOR; VALIDATION; IDENTIFICATION; PRESSURE;

D O I：

10.1155/2012/421070

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

Economic constraints are driving the electric power industry to seek improved methods for monitoring, control, and diagnostics. To increase plant availability, various techniques have been implemented in industry to assess equipment condition to prevent system inoperability. The availability of a large number of measured signals and additional component information and the increasing number of signal processing options to analyze sampled data motivate the assimilation of such diverse information into a plantwide condition monitor. The use of fuzzy logic is described herein for the purpose of performing the decision making regarding the systemstatus and the possible need for component maintenance. Fuzzy-logic-based diagnosticmonitoring is applied to data acquired from instrumentation within operating facilities.

引用

页数：11

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