scholarly journals Nuclear Power Plants With Artificial Intelligence in Industry 4.0 Era: Top-Level Design and Current Applications—A Systemic Review

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 194315-194332
Author(s):  
Chao Lu ◽  
Jiafei Lyu ◽  
Liming Zhang ◽  
Aicheng Gong ◽  
Yipeng Fan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Systemic Review ◽  
Level Design

scholarly journals Analysis of Systems Thinking Safety by Artificial Intelligence (AI) Algorithm in South Korean Nuclear Power Plants (NPPs)

2021 ◽  
Vol 11 (10) ◽  
pp. 56-62
Author(s):  
Chang Hyun Baek ◽  
◽  
Kyung Bae Jang ◽  
Tae Ho Woo
Keyword(s):  
Artificial Intelligence ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Critical Factor ◽  
Safety Analysis ◽  
The Other ◽  
South Korean ◽  
Initial Stage ◽  
Relative Value

The artificial intelligence (AI) is applied to the safety analysis in the South Korean nuclear power plants (NPPs). The reinforcement learning (RL) is one of promising skills in the wise manipulations for the nuclear safety analysis where the reward is a critical factor to make the modelling. In the simulations, Y-axis means the relative value which shows the quantity of the accident possibility. The highest value is 4.0 in 46.25th year in which the values are increasing gradually. Otherwise, the values in the case with Agent gradually decrease. The highest value is near initial stage, which means the operation in NPPs is comparatively unstable. In the result, the values in the AI based controller graphs are higher than those of the other one. The RL algorithm is expressed by the Agent in this modelling, which is the most important factor in the AI-based operation in NPPs.

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
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