Barriers to adopting artificial intelligence and machine learning technologies in nuclear power
A Hall, V Agarwal - Progress in Nuclear Energy, 2024 - Elsevier
Artificial intelligence and machine learning (AI/ML) technologies offer unique opportunities
to transform nuclear plant operations and power generation. Benefits will be felt not only …
to transform nuclear plant operations and power generation. Benefits will be felt not only …
Reliability modeling in a predictive maintenance context: A margin-based approach
Current system reliability methods (typically based on fault trees [FTs] or reliability block
diagrams) can effectively propagate reliability data from the asset level to the system level in …
diagrams) can effectively propagate reliability data from the asset level to the system level in …
Explainable artificial intelligence technology for predictive maintenance
The domestic nuclear power plant fleet has relied on labor-intensive and time-consuming
preventive maintenance programs, thus driving up operation and maintenance costs to …
preventive maintenance programs, thus driving up operation and maintenance costs to …
Scalable technologies achieving risk-informed condition-based predictive maintenance enhancing the economic performance of operating nuclear power plants
The primary objective of the research presented in this report is to develop scalable
technologies that are deployable across plant assets and across the nuclear fleet to achieve …
technologies that are deployable across plant assets and across the nuclear fleet to achieve …
Human-centered and explainable artificial intelligence in nuclear operations
A Hall, P Murray, RL Boring… - Proceedings of the …, 2024 - journals.sagepub.com
Nuclear power plants in the United States are critical to the nation's energy security,
accounting for 20% of all electricity produced for the power grid. As energy needs grow, 100 …
accounting for 20% of all electricity produced for the power grid. As energy needs grow, 100 …
[PDF][PDF] Federated-Transfer Learning for Scalable Condition-based Monitoring of Nuclear Power Plant Components
KA Manjunatha, V Agarwal, H Palas - Proceedings of 16th Conference …, 2022 - iapsam.org
Condition-based monitoring (CBM) techniques are widely being used for maintenance
activities in nuclear power plants (NPPs). As faults are rare events, it is highly unlikely that all …
activities in nuclear power plants (NPPs). As faults are rare events, it is highly unlikely that all …
A Hybrid Reliability Model Using Generalized Renewal Processes for Predictive Maintenance in Nuclear Power Plant Circulating Water Systems
The nuclear industry's economic viability is challenged by significant operations and
maintenance (O&M) costs. Although maintenance strategies are often risk-averse, many …
maintenance (O&M) costs. Although maintenance strategies are often risk-averse, many …
Development of a cloud-based application to enable a scalable risk-informed predictive maintenance strategy at nuclear power plants
R Appiah, CMB Walker, V Agarwal, J Nistor… - 2022 - osti.gov
Light-water reactor operations and maintenance (O&M) costs are prohibitively high, thus
contributing to the premature decommissioning of nuclear power plants (NPPs). This is …
contributing to the premature decommissioning of nuclear power plants (NPPs). This is …
Recursive Use of the Short-Time Fast Fourier Transform for Signature Analysis in Continuous Processes
JA Smith, V Agarwal - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
Although a nuclear reactor is a hostile environment for sensing and electrical
communications, the reactor core is amenable to acoustic communication. An acoustic …
communications, the reactor core is amenable to acoustic communication. An acoustic …
Regulatory Considerations for Nuclear Energy Applications of Digital Twin Technologies
Digital twins (DTs) in complex industrial and engineering applications have potential
benefits that include increased operational efficiencies, enhanced safety and reliability …
benefits that include increased operational efficiencies, enhanced safety and reliability …