A review of the application of artificial intelligence to nuclear reactors: Where we are and what's next

Q Huang, S Peng, J Deng, H Zeng, Z Zhang, Y Liu… - Heliyon, 2023 - cell.com
As a form of clean energy, nuclear energy has unique advantages compared to other energy
sources in the present era, where low-carbon policies are being widely advocated. The …

Data-driven machine learning for fault detection and diagnosis in nuclear power plants: A review

G Hu, T Zhou, Q Liu - Frontiers in Energy Research, 2021 - frontiersin.org
Data-driven machine learning (DDML) methods for the fault diagnosis and detection (FDD)
in the nuclear power plant (NPP) are of emerging interest in the recent years. However …

Real-time prediction of nuclear power plant parameter trends following operator actions

J Bae, G Kim, SJ Lee - Expert Systems with Applications, 2021 - Elsevier
Operators in the main control room of a nuclear power plant (NPP) oversee all plant
operations, and thus any human error committed by the operators can be critical. If the …

Research on intelligent fault diagnosis method for nuclear power plant based on correlation analysis and deep belief network

BS Peng, H Xia, YK Liu, B Yang, D Guo… - Progress in Nuclear …, 2018 - Elsevier
The complexity and safety requirements for Nuclear power plants (NPP) warrant a reliable
fault diagnosis approach. In this paper, we present a fault diagnosis method based on …

Artificial intelligence in nuclear industry: Chimera or solution?

S Suman - Journal of Cleaner Production, 2021 - Elsevier
Nuclear industry is in crisis and innovation is the central theme of its survival in future.
Artificial intelligence has made a quantum leap in last few years. This paper …

Fault diagnosis of nuclear power plant based on sparrow search algorithm optimized CNN-LSTM neural network

C Zhang, P Chen, F Jiang, J Xie, T Yu - Energies, 2023 - mdpi.com
Nuclear power is a type of clean and green energy; however, there is a risk of radioactive
material leakage when accidents occur. When radioactive material leaks from nuclear power …

Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—A systemic review

C Lu, J Lyu, L Zhang, A Gong, Y Fan, J Yan, X Li - IEEE Access, 2020 - ieeexplore.ieee.org
Nuclear energy can make an important contribution to low-carbon energy supply for Industry
4.0, while Industry 4.0 can reform this industry in return. As a typical and complex man …

A survey of the state of condition-based maintenance (CBM) in the nuclear power industry

RM Ayo-Imoru, AC Cilliers - Annals of Nuclear Energy, 2018 - Elsevier
Condition-based maintenance (CBM) involves undertaking maintenance activities based on
the health of the system. CBM has found useful applications in many industries. This paper …

[HTML][HTML] An accident diagnosis algorithm using long short-term memory

J Yang, J Kim - Nuclear Engineering and Technology, 2018 - Elsevier
Accident diagnosis is one of the complex tasks for nuclear power plant (NPP) operators. In
abnormal or emergency situations, the diagnostic activity of the NPP states is burdensome …

Control automation in the heat-up mode of a nuclear power plant using reinforcement learning

JK Park, TK Kim, SH Seong, SR Koo - Progress in Nuclear Energy, 2022 - Elsevier
Next-generation nuclear instrumentation and control technology is aimed at higher levels of
automation and lower operation burden. In recent years, studies have been conducted to …