The nuclear digital twin (DT) is the virtual representation of a nuclear energy system across
its lifecycle. The nuclear DT uses real-time information and other data sources to improve …

The recent growth of machine learning and artificial intelligence technologies provides
opportunities for leveraging data-driven algorithms to address the problems of diagnostics …

Industries are moving towards automated monitoring and maintenance, and a single
wireless technology cannot fulfill all the requirements to meet industrial demands. To …

Transitioning from an onsite Maintenance & Diagnostics Center to cloud-based services
offers many new opportunities with computing power and storage, but also new challenges …

Operation and maintenance costs for nuclear power plants are very large. Reactors are
starting to shut down even after their operating licenses have been extended, because they …

Recent advancements in machine learning (ML) and artificial intelligence (AI) technologies
provide an opportunity for leveraging data-driven algorithms to predict future nuclear power …

One of the major contributors to the total operating costs of domestic nuclear fleet of reactors
today is the operation and maintenance (O&M) costs. These include labor-intense …

Nuclear power plants collect and store large volumes of heterogeneous data from various
components and systems. With recent advances in machine learning (ML) techniques, these …

Nuclear power plants (NPPs) are utilizing technological advancements to automate
monitoring, inspection, security, and other operation and maintenance tasks, thus improving …