Unsupervised learning algorithm for signal validation in emergency situations at nuclear power plants

Unsupervised learning algorithm for signal validation in emergency situations at nuclear power plants

This paper proposes an algorithm for signal validation using unsupervised methods in emergency situations at nuclear power plants (NPPs) when signals are rapidly changing. The algorithm aims to determine the stuck failures of signals in real time based on a variational auto-encoder (VAE), which empl...

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Bibliographic Details
Main Authors: Younhee Choi, Gyeongmin Yoon, Jonghyun Kim
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Nuclear Engineering and Technology
Subjects:
Nuclear power plants
Signal failures
Signal validation
Variational auto-encoder
Long short-term memory
Unsupervised learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573321005908

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http://www.sciencedirect.com/science/article/pii/S1738573321005908

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