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 …

A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants

H Wang, M Peng, JW Hines, G Zheng, Y Liu… - ISA transactions, 2019 - Elsevier
The safety and public health during nuclear power plant operation can be enhanced by
accurately recognizing and diagnosing potential problems when a malfunction occurs …

Fault identification and diagnosis based on KPCA and similarity clustering for nuclear power plants

H Wang, M Peng, Y Yu, H Saeed, C Hao, Y Liu - Annals of Nuclear Energy, 2021 - Elsevier
Nuclear power plant is a complex engineering system with strong coupling, nonlinearity and
potential radioactive release risk. Different researchers have proposed numerous fault …

The time for revolutionizing small modular reactors: Cost reduction strategies from innovations in operation and maintenance

IJ Jin, IC Bang - Progress in Nuclear Energy, 2024 - Elsevier
This comprehensive review paper investigates the possibilities and prospects of operation
and maintenance (O&M) technologies in small modular reactors (SMRs). The necessity for …

[HTML][HTML] An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plant

M Peng, H Wang, S Chen, G Xia, Y Liu, X Yang… - Nuclear Engineering …, 2018 - Elsevier
To assist operators to properly assess the current situation of the plant, accurate fault
diagnosis methodology should be available and used. A reliable fault diagnosis method is …

Bayesian long short-term memory model for fault early warning of nuclear power turbine

G Liu, H Gu, X Shen, D You - Ieee Access, 2020 - ieeexplore.ieee.org
Fault early warning of equipment in nuclear power plant can effectively reduce unplanned
forced shutdown and avoid significant safety accidents. This paper presents a Bayesian …

A sensor fault-tolerant accident diagnosis system

J Choi, SJ Lee - Sensors, 2020 - mdpi.com
Emergency situations in nuclear power plants are accompanied by an automatic reactor
shutdown, which gives a big task burden to the plant operators under highly stressful …

[HTML][HTML] Empirical estimation of human error probabilities based on the complexity of proceduralized tasks in an analog environment

J Park, HE Kim, I Jang - Nuclear Engineering and Technology, 2022 - Elsevier
The contribution of degraded human performance (eg, human errors) is significant for the
safety of diverse social-technical systems. Therefore, it is crucial to understand when and …

[PDF][PDF] Improving the reliability of information-control systems at power generation facilities based on the fractal-cluster theory

P Budanov, K Brovko, A Cherniuk… - Восточно …, 2018 - irbis-nbuv.gov.ua
One of the main directions to enhance the safety of nuclear and thermal power plants (NPP,
TPP) in Ukraine is to improve information control systems (ICS), software technical …

[HTML][HTML] Changes in Gross Nuclear Electricity Production in the European Union

P Bórawski, A Bełdycka-Bórawska, B Klepacki… - Energies, 2024 - mdpi.com
Economic development requires a constant supply of energy. The utilization of fossil fuels
causes environmental pollution and greenhouse gas emissions. The effects of fossil fuel use …