W25 Application of Artificial Intelligence and Analytics to Nuclear Power Plant Activities
Advances in computing technologies, and access to both historical datasets and real-time data collection, have led to the expanded use of artificial intelligence (AI) and data analytics in a diverse range of industries. This session will provide an overview of current AI-related activities in the nuclear industry as well as perspectives on what the future could look like for using these technologies to develop insights about the behavior of systems and to further inform decisionmakers. Specific topics will include using analytics for predictive maintenance, improving plant performance, and exploring how NRC could also make use of these technologies.
SESSION CHAIR(S):
SPEAKER(S):
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Introductory Remarks
Jeff Baran, Commissioner, OCM/NRC
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Data Driven Decision Making
Heather Feldman, Director, Innovation, Electric Power Research Institute
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Analytics for Maintenance Rule Monitoring
Jenna Burr, Equipment Reliability Senior Staff, Exelon Generation Company
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Data Science and AI in Nuclear Power Plants - an EDF Perspective
Patrick Morilhat, R&D Program Director, Nuclear Performance, Électricité de France
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NRC Applications of Artificial Intelligence and Analytics
Michael Case, Director, Division of Safety Analysis, RES/NRC
SESSION COORDINATOR(S):
- Alfred Hathawy, Reactor Systems Engineer (Code Development), Accident Analysis Branch, Division of Systems Analysis, RES/NRC tel: 301-415-2461, e-mail: Alfred.Hathaway@nrc.gov
Page Last Reviewed/Updated Thursday, December 31, 2020