Nondestructive evaluation methods play an important role in ensuring component integrity
and safety in many industries. Operator fatigue can play a critical role in the reliability of such …

Risk management plays a vital role in tackling cyber threats within the cyber-physical system
(CPS). It enables identifying critical assets, vulnerabilities and threats and determining …

Abstract A Machine Learning (ML) platform is proposed to assist the operator in diagnosing
the severe accident progression, where some of the signal is corrupted, and/or estimation of …

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 …

The impetus for the threat agnostic special feature grew out of an internally funded strategic
capability development effort at Pacific Northwest National Laboratory. The selection of …

Radionuclide identification is an important part of the nuclear material identification system.
The development of artificial intelligence and machine learning has made nuclide …

This dissertation deals with the problem of automated classification of the signals obtained
from certain radiation monitoring systems, specifically from the Core Discharge Monitor …

Fire is one of the most important hazards that must be considered in advanced nuclear
power plant safety assessments. The Nuclear Regulatory Commission (NRC) has …

Abstract Setting priorities in a complex defence environment requires technology
assessment, data driven decision support tools, foresight, and roadmapping the future …