Hybrid identification of nuclear power plant transients with artificial neural networks

IEEE Transactions on Industrial Electronics

Volumn 51, Issue 3, 2004, Pages 686-693

  Embrechts, Mark J ^a   Benedek, Sandor ^b  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b VEIKI Institute for Electric Power Research   (Hungary)

Author keywords

Fault diagnosis; Genetic algorithms; Identification; Malfunction recognition; Neural networks; Power system monitoring

Indexed keywords

ALGORITHMS; BACKPROPAGATION; FEEDFORWARD NEURAL NETWORKS; GENETIC ALGORITHMS; NUCLEAR POWER PLANTS; TRANSIENTS;

FAULT DIAGNOSIS; MALFUNCTION RECOGNITION;

FAILURE ANALYSIS;

EID: 2942687569     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2004.824874     Document Type: Article

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