Nuclear power plant instrumentation fault detection using fuzzy logic

Keith Holbert, Kang Lin

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

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 system status and the possible need for component maintenance. Fuzzy-logic-based diagnostic monitoring is applied to data acquired from instrumentation within operating facilities.

Original languageEnglish (US)
Article number421070
JournalScience and Technology of Nuclear Installations
Volume2012
DOIs
StatePublished - 2012

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Fault detection
Nuclear power plants
Fuzzy logic
Availability
Monitoring
Industry
Signal processing
Decision making
Economics

ASJC Scopus subject areas

  • Nuclear Energy and Engineering

Cite this

Nuclear power plant instrumentation fault detection using fuzzy logic. / Holbert, Keith; Lin, Kang.

In: Science and Technology of Nuclear Installations, Vol. 2012, 421070, 2012.

Research output: Contribution to journalArticle

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