Andrey V. Nechaevskiy

Enhancement of anomaly detection system using artificial intelligence for sensor signals in nuclear power plants

A hybrid deep learning and ensemble-based approach that integrates Convolutional Neural Networks, Long Short-Term Memory, and Gated Recurrent Units to considerably improve anomaly detection and classification abilities in critical systems to improve safety and operational efficiency is proposed.