Application of artificial intelligence in detection and mitigation of human factor errors in nuclear power plants: a review

M Sethu, B Kotla, D Russell, M Madadi, NA Titu… - Nuclear …, 2023 - Taylor & Francis
Human factors and ergonomics have played an essential role in increasing the safety and
performance of operators in the nuclear energy industry. In this critical review, we examine …

Reliability analysis of a collective decision-making scheme by Co-operation of NPP operators and automatic diagnosis system

Z Xu, H Peng, M Yang - Progress in Nuclear Energy, 2022 - Elsevier
With the continuous improvement of hardware equipment performance, human error of
operation team has become the major factor threatening the safe operation of nuclear power …

[HTML][HTML] Graph neural network based multiple accident diagnosis in nuclear power plants: Data optimization to represent the system configuration

YH Chae, C Lee, SM Han, PH Seong - Nuclear Engineering and …, 2022 - Elsevier
Because nuclear power plants (NPPs) are safety-critical infrastructure, it is essential to
increase their safety and minimize risk. To reduce human error and support decision-making …

Should deep learning models be in high demand, or should they simply be a very hot topic? A comprehensive study for exchange rate forecasting

FM Yilmaz, O Arabaci - Computational Economics, 2021 - Springer
Exchange rate movements can significantly impact not only foreign trade, capital flows, and
asset portfolio management, but also real economic activity. Therefore, the forecast of …

[HTML][HTML] Conceptual design of autonomous emergency operation system for nuclear power plants and its prototype

J Kim, D Lee, J Yang, S Lee - Nuclear Engineering and Technology, 2020 - Elsevier
This paper presents a conceptual design for a plant-wide autonomous operation system that
uses artificial intelligence techniques. The autonomous operation system has the power and …

Autonomous control model for emergency operation of small modular reactor

HA Saeed, M Peng, H Wang, A Rasool - Annals of Nuclear Energy, 2023 - Elsevier
Advancements in computer performance and Artificial Intelligence, especially Deep Neural
Networks and reinforcement learning, have caught the attention of many researchers …

Intelligent fault monitoring and reliability analysis in safety–critical systems of nuclear power plants using SIAO-CNN-ORNN

K Gaurav, BK Singh, V Kumar - Multimedia Tools and Applications, 2024 - Springer
Nuclear power plants' instrumentation and control systems (I&Cs) are essential for
guaranteeing secure and dependable operations. If these systems fail, there could be …

[HTML][HTML] The next failure time prediction of escalators via deep neural network with dynamic time warping preprocessing

Z Zhou, Y Zi, J Xie, J Chen, T An - Applied Sciences, 2020 - mdpi.com
The escalator is one of the most popular travel methods in public places, and the safe
working of the escalator is significant. Accurately predicting the escalator failure time can …

장단기메모리를기반으로한원자력발전소의전출력운전과기동운전시의사고진단알고리즘개발

양재민 - 2018 - oak.chosun.ac.kr
Currently running nuclear power plants (NPPs) are managed under the goal of electricity
power generation with safety. According to the safety purpose of NPPs, any action (eg …

[引用][C] Knowledge use in safety-critical decision making

C Lilburne - 2021 - espace.library.uq.edu.au
There is a continued prevalence of catastrophic events in the high-hazard industries. Many
incident reports on these events either criticise or make generalised recommendations …