DESIGNING AN IMPROVED NEURAL NETWORK FOR THE EARLY DETECTION OF ANOMALIES IN NUCLEAR POWER PLANTS

DESIGNING AN IMPROVED NEURAL NETWORK FOR THE EARLY DETECTION OF ANOMALIES IN NUCLEAR POWER PLANTS

The effectiveness and dependability of these vital energy infrastructures depend heavily on the early detection of anomalies in nuclear power plants (NPPs). Anomalies in a plant's operations might be signs of the impending equipment failure, a danger to workers' safety, or departure from i...

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Bibliographic Details
Main Authors: Solomon Jebaraj, Davendra Kumar Doda, Vineet Saxena
Format: Article
Language:English
Published: University of Kragujevac 2023-08-01
Series:Proceedings on Engineering Sciences
Subjects:
z-score normalization
kernel principal component analysis (kpca)
nuclear power plants (npps)
anomaly
recurrent neural network (rnn)
bat and grey wolf optimized recurrent neural network (bgwo)
Online Access:https://pesjournal.net/journal/v5-nS1/9.pdf

Internet

https://pesjournal.net/journal/v5-nS1/9.pdf

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