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 …

Emergency decision support techniques for nuclear power plants: Current state, challenges, and future trends

X **ao, J Liang, J Tong, H Wang - Energies, 2024 - mdpi.com
Emergency decision support techniques play an important role in complex and safety-critical
systems such as nuclear power plants (NPPs). Emergency decision-making is not a single …

[HTML][HTML] RNN-based integrated system for real-time sensor fault detection and fault-informed accident diagnosis in nuclear power plant accidents

J Choi, SJ Lee - Nuclear Engineering and Technology, 2023 - Elsevier
Sensor faults in nuclear power plant instrumentation have the potential to spread negative
effects from wrong signals that can cause an accident misdiagnosis by plant operators. To …

[HTML][HTML] Consistency index-based sensor fault detection system for nuclear power plant emergency situations using an LSTM network

J Choi, SJ Lee - Sensors, 2020 - mdpi.com
A nuclear power plant (NPP) consists of an enormous number of components with complex
interconnections. Various techniques to detect sensor errors have been developed to …

[PDF][PDF] Calibration and certification of industrial sensors—a global review

AB Martins, JT Farinha, AM Cardoso - WSEAS Trans. Syst …, 2020 - researchgate.net
The main objective of this paper is to describe the state of the art of the calibration and
certification of industrial sensors, giving an approach on how companies can manage the …

Applications of Soft Computing in nuclear power plants: A review

I Ramezani, K Moshkbar-Bakhshayesh… - Progress in Nuclear …, 2022 - Elsevier
Soft Computing (SC) is defined as a group of computational techniques that solve complex
problems independent of mathematical models. SC techniques including artificial neural …

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 …

Stress-sensing method via laser-generated ultrasound wave using candle soot nanoparticle composite

H Kim, WY Chang, T Kim, X Jiang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article aims to develop a semi-noncontact stress-sensing system using a laser-
generated ultrasound (LGU) wave assisted by candle soot nanoparticle (CSNP) composite …

A denoising based autoassociative model for robust sensor monitoring in nuclear power plants

A Shaheryar, XC Yin, HW Hao, H Ali… - … and Technology of …, 2016 - Wiley Online Library
Sensors health monitoring is essentially important for reliable functioning of safety‐critical
chemical and nuclear power plants. Autoassociative neural network (AANN) based …

[HTML][HTML] Chlorella sensors in liquid marbles and droplets

N Phillips, R Mayne, A Adamatzky - Sensing and Bio-Sensing Research, 2022 - Elsevier
The use of live organisms in electrically-coupled sensing devices has been suggested as an
alternative low-cost, low-environmental footprint and robust technology for continuous …