A multiple-architecture deep learning approach for nuclear power plants accidents classification including anomaly detection and “don’t know” response

2021 ◽  
Vol 162 ◽  
pp. 108521
Author(s):  
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Claudio M.N.A. Pereira ◽  
Roberto Schirru
Keyword(s):  
Deep Learning ◽  
Anomaly Detection ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Learning Approach

scholarly journals Anomaly Detection in Nuclear Power Plants via Symbolic Dynamic Filtering

2011 ◽  
Vol 58 (1) ◽  
pp. 277-288 ◽  
Author(s):  
Xin Jin ◽  
Yin Guo ◽  
Soumik Sarkar ◽  
Asok Ray ◽  
Robert M. Edwards
Keyword(s):  
Anomaly Detection ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Symbolic Dynamic ◽  
Symbolic Dynamic Filtering ◽  
Dynamic Filtering

System-level Anomaly Detection for Nuclear Power Plants Using Variational Graph Auto-encoders

2021 ◽  
Author(s):  
Le Zhang ◽  
Wei Cheng ◽  
Xue Liu ◽  
Xuefeng Chen ◽  
Fengtian Chang ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
System Level

Work structure in nuclear power plants

1983 ◽  
Author(s):  
Marjorie B. Bauman ◽  
Richard F. Pain ◽  
Harold P. Van Cott ◽  
Margery K. Davidson
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Work Structure

Life Extension of Nuclear Power Plants: World Situation and the USA Case

2010 ◽  
pp. 50-56 ◽  
Author(s):  
Pablo T. León ◽  
Loreto Cuesta ◽  
Eduardo Serra ◽  
Luis Yagüe
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Life Extension ◽  
The Usa
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