Nuclear power plant instrumentation fault detection using fuzzy logic

Keith Holbert, Kang Lin

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


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
StatePublished - 2012

ASJC Scopus subject areas

  • Nuclear Energy and Engineering


Dive into the research topics of 'Nuclear power plant instrumentation fault detection using fuzzy logic'. Together they form a unique fingerprint.

Cite this