TY - JOUR
T1 - Redundant sensor validation by using fuzzy logic
AU - Holbert, Keith
AU - Sharif Heger, A.
AU - Alang-Rashid, Nahrul K.
PY - 1994/1/1
Y1 - 1994/1/1
N2 - 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.
AB - 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.
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U2 - 10.13182/NSE94-A19021
DO - 10.13182/NSE94-A19021
M3 - Article
AN - SCOPUS:0028497797
SN - 0029-5639
VL - 118
SP - 54
EP - 64
JO - Nuclear Science and Engineering
JF - Nuclear Science and Engineering
IS - 1
ER -