CORTEX H2020
Published July 13, 2018 | Version v1
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A deep learning approach to anomaly detection in nuclear reactors

Creators

  • 1. University of Lincoln

Description

Presented at IJCNN 2018, this presentation contains the description of a novel deep learning approach to unfold nuclear power reactor signals is proposed. It includes a combination of convolutional neural networks (CNN), denoising autoencoders (DAE) and k-means clustering of representations.

Files

2018_Caliva_IJCNN_ijcnn_presentation_V1.pdf

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Additional details

Funding

CORTEX – Core monitoring techniques and experimental validation and demonstration 754316
European Commission