Accident diagnosis and autonomous control of safety functions during the startup operation of nuclear power plants using LSTM

J Yang, D Lee, J Kim - Advances in Artificial Intelligence, Software and …, 2019 - Springer
Accident diagnosis is regarded as one of the complex tasks for nuclear power plant (NPP)
operators. In addition, if the accident occurs during the startup operation, it is hard to cope …

Nuclear Power Plant Accident Diagnosis Algorithm Including Novelty Detection Function Using LSTM

J Yang, S Lee, J Kim - Advances in Artificial Intelligence, Software and …, 2020 - Springer
Diagnosis of the accident or transient at the nuclear power plants is performed under the
judgment of operators based on the procedures. Although procedures given to operators …

Autonomous operation algorithm for safety systems of nuclear power plants by using long-short term memory and function-based hierarchical framework

D Lee, PH Seong, J Kim - Annals of Nuclear Energy, 2018 - Elsevier
With the improvement of computer performance and the emergence of cutting-edge artificial
intelligence (AI) algorithms, an autonomous operation based on AI is being applied to many …

Accident diagnosis algorithm with untrained accident identification during power-increasing operation

J Yang, J Kim - Reliability Engineering & System Safety, 2020 - Elsevier
To ensure the safety of nuclear power plants (NPPs) from accidents or anomalies, regulatory
bodies provide procedures that describe safety regulations that must be followed. However …

Autonomous algorithm for start-up operation of nuclear power plants by using LSTM

D Lee, J Kim - Advances in Artificial Intelligence, Software and …, 2019 - Springer
Autonomous operation is one of the technologies of the forth-industrial revolution that is
attracting attention in the world due to the development of new computer algorithms and the …

Autonomous algorithm for safety systems of the nuclear power plant by using the deep learning

D Lee, J Kim - Advances in Human Factors in Energy: Oil, Gas …, 2018 - Springer
This study aims to develop an autonomous algorithm to control the safety systems of nuclear
power plant (NPP) by using the deep learning that is one of machine learning methods. The …

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 …

Development of autonomous operation agent for normal and emergency situations in nuclear power plants

D Lee, H Kim, Y Choi, J Kim - 2021 5th International …, 2021 - ieeexplore.ieee.org
Nuclear power plants (NPPs) are highly automated systems. Nevertheless, the operator's
manual actions are still required when normal (start-up/shutdown) operation and emergency …

System and component anomaly detection using lstm-vae

JH Park, HS Jo, MG Na - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
In the event of an accident at a nuclear power plant, the operators have to take appropriate
actions after carrying out the diagnosis of the accident. However, the accident diagnosis can …

[PDF][PDF] Pattern recognition techniques for transient detection to enhance nuclear reactors' operational safety

IK Attieh, AV Gribok, JW Hines, RE Uhrig - Proc. 25th CNS/CNA Annu …, 2000 - nuceng.ca
Nuclear power plants are highly complex systems that are operated and monitored by
humans. When faced with an unplanned transient, such as a plant accident scenario …