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• W2099250277 abstract "Transient identification in Nuclear Power Plant (NPP) is often a very hard taskand may involve a great amount of human cognition. The early identification ofunexpected departures from steady state behavior is an essential step for the operation,control and accident management in NPPs. The bases for the transient identificationrelay on the evidence that different system faults and anomalies lead to different patternevolution in the involved process variables. During an abnormal event, the operatormust monitor a great amount of information from the instruments that represents aspecific type of event. Several systems based on specialist systems, neural-networks,and fuzzy logic have been developed for transient identification. In the work, weinvestigate the possibility of using a Neuro-Fuzzy modeling tool for efficient transientidentification, aiming to helping the operator crew to take decisions relative to theprocedure to be followed in situations of accidents/transients at NPPs. The proposedsystem uses artificial neural networks (ANN) as first level transient diagnostic. After theANN has done the preliminary transient type identification, a fuzzy-logic systemanalyzes the results emitting reliability degree of it. A preliminary evaluation of thedeveloped system was made at the Human-System Interface Laboratory (LABIHS). Theobtained results show that the system can help the operators to take decisions duringtransients/accidents in the plant." @default.
• W2099250277 created "2016-06-24" @default.
• W2099250277 creator A5023946628 @default.
• W2099250277 date "2009-01-01" @default.
• W2099250277 modified "2023-09-24" @default.
• W2099250277 title "Sistema de auxílio para o direcionamento da atenção no diagnóstico de acidentes em usinas nucleares baseado em inteligência artificial" @default.
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• W2099250277 hasPublicationYear "2009" @default.
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