Modeling and control of nuclear reactor cores for electricity generation: A review of advanced technologies

G Li, X Wang, B Liang, X Li, B Zhang, Y Zou - Renewable and Sustainable …, 2016 - Elsevier
This investigation is to review advanced technologies for modeling and control of reactor
cores in nuclear power plants for electricity generation. A reactor core in a nuclear power …

The Evolving Technological Framework and Emerging Trends in Electrical Intelligence within Nuclear Power Facilities

Y Sun, Z Wang, Y Huang, J Zhao, B Wang, X Dong… - Processes, 2024 - mdpi.com
This paper thoroughly explores the feasibility of integrating a variety of intelligent electrical
equipment and smart maintenance technologies within nuclear power plants to enhance the …

Air Quality Class Prediction Using Machine Learning Methods Based on Monitoring Data and Secondary Modeling

Q Liu, B Cui, Z Liu - Atmosphere, 2024 - mdpi.com
Addressing the constraints inherent in traditional primary Air Quality Index (AQI) forecasting
models and the shortcomings in the exploitation of meteorological data, this research …

Deep learning-based unsupervised representation clustering methodology for automatic nuclear reactor operating transient identification

X Li, XM Fu, FR Xiong, XM Bai - Knowledge-Based Systems, 2020 - Elsevier
Transient identification of condition monitoring data in nuclear reactor is important for system
health assessment. Conventionally, the operating transients are correlated with the pre …

High security user authentication enabled by piezoelectric keystroke dynamics and machine learning

A Huang, S Gao, J Chen, L Xu… - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
With the rapid development of electric and information technologies, security issues are
becoming a pressing concern. This has given rise to a plethora of authentication techniques …

Detection and estimation of faulty sensors in NPPs based on thermal-hydraulic simulation and feed-forward neural network

A Ebrahimzadeh, M Ghafari… - Annals of Nuclear …, 2022 - Elsevier
Sensors are one of the most vital instruments in Nuclear Power Plants (NPPs), and
operators and safety systems monitor and analyze various parameters reported by them …

Identification of the appropriate architecture of multilayer feed-forward neural network for estimation of NPPs parameters using the GA in combination with the LM and …

K Moshkbar-Bakhshayesh - Annals of Nuclear Energy, 2021 - Elsevier
In this study, accurate estimation of nuclear power plant (NPP) parameters is done using the
new and simple technique. The proposed technique using the genetic algorithm (GA) in …

Accident management support tools in nuclear power plants: a post-Fukushima review

M Saghafi, MB Ghofrani - Progress in nuclear energy, 2016 - Elsevier
In stressful situations such as severe accidents in nuclear power plants, operators need
support tools to ease decision making in the selection of accident management measures …

Comparative study of application of different supervised learning methods in forecasting future states of NPPs operating parameters

K Moshkbar-Bakhshayesh - Annals of Nuclear Energy, 2019 - Elsevier
In this paper, some important operating parameters of nuclear power plants (NPPs)
transients are forecasted using different supervised learning methods including feed-forward …

Back-propagation algorithm-based controller for autonomous wind–DG microgrid

G Pathak, B Singh, BK Panigrahi - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper deals with a wind–diesel generator hybrid configuration of the microgrid using a
voltage source converter (VSC) as a voltage and frequency (VF) controller. The wind power …