Currently, workers in nuclear power plants need to monitor plant data in real time. In the
event of an emergency, due to human subjectivity, the operator cannot make accurate …

To ensure nuclear safety, timely and accurate anomaly detection is of utmost importance in
the daily condition monitoring of Nuclear Power Plants (NPPs), as any slight anomaly in a …

Benchmarking results from experiments on research reactors showed that power reactors'
mathematical model produced conservative results in predicting the maximum cladding …

As an effective data pattern extraction method, machine learning is widely used in the field of
nuclear power industry control, and has a great application. In order to solve the problem …

Nuclear power plant operating data are characterized by a large variety, strong coupling,
and low data value density. When using machine learning techniques for fault diagnosis and …

Artificial intelligence is becoming a larger part of operations for many industries. One
industry where this is occurring rapidly is the nuclear industry. Researchers from around the …

Artificial intelligence methodologies along with human observations in the main control room
of nuclear power plants can be applied for predictive analysis and accident detection in the …

Abstract Machine learning and AI are concepts that have had a large impact in daily life
since 2000. It is unlikely that most people at this point in time do not have some sort of …

Condition monitoring is essential to the management and maintenance of Nuclear Power
Plants (NPPs), as anomalies in the condition of components can affect the normal operation …