Redundant sensor validation by using fuzzy logic

Keith Holbert, A. Sharif Heger, Nahrul K. Alang-Rashid

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


This research is motivated by the need to relax the strict boundary of numeric-based signal validation. To this end, the use of fuzzy logic for redundant sensor validation is introduced. Since signal validation employs both numbers and qualitative statements, fuzzy logic provides a pathway for transforming human abstractions into the numerical domain and thus coupling both sources of information. With this transformation, linguistically expressed analysis principles can be coded into a classification rule-base for signal failure detection and identification.

Original languageEnglish (US)
Pages (from-to)54-64
Number of pages11
JournalNuclear Science and Engineering
Issue number1
StatePublished - Jan 1 1994

ASJC Scopus subject areas

  • Nuclear Energy and Engineering


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