The nuclear power industry is currently a strategic sector in the national economy, along with
nuclear energy being considered to be an essential source of national power supply and …

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 …

In the era of Industry 4.0, the vast development of Smart Factory is always followed by the
advancement of Deep Learning technology. To avoid the smart factory system from …

The traditional manufacturing industry uses decades-old technology and manual processes
that are expensive, laborious, redundant, and a slight human error can cost millions of …

The nuclear industry is experiencing a steady increase in maintenance costs even though
plants are maintained under high levels of safety, capability and reliability. Nuclear power …

Nuclear power plants (NPPs) are complex systems that are monitored by a team of highly
trained operators, that in case of an anomalous event on the NPP, such as an accident, must …

Artificial intelligence methods have been successfully applied to monitor the safety of
nuclear power plants (NPPs). One major safety issue of a NPP is the loss of a coolant …

The failure of machines at oil and gas platforms that will temporarily stop oil production
commonly happens. The failure may refer to the machine that has stopped working, is not …

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 …

This report presents the project Idaho National Laboratory conducted for Nuclear Regulatory
Commission to explore the advanced computational tools and techniques, such as artificial …