Utilizing digital twins for nuclear safeguards and security

Ryan Stewart, Ashley Shields, Samuel Bays, Christopher Ritter,

Gustavo Reyes, Mark Schanfein

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March 2023

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Diagnostic Digital Twin for Nuclear Piping-Equipment Systems using

Deep Learning Approaches

Harleen Kaur Sandhu1, Saran Srikanth Bodda2, Will Ashe3, Abhinav Gupta4,

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Kevin Han5, Bruce Greer6, and Hasan Charkas7

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Digital Technologies for Operation & Maintenance Efficiency of Nuclear Power Plants

- Leading to Further Safety, Reliability, and Performance -

Mitsubishi Heavy Industries Technical Review Vol. 61 No. 4 (January 2025)

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1

*1 Engineering Manager, Electrical and Instrument & Control Department, Nuclear Energy Systems

*2 Electrical and Instrument & Control Department, Nuclear Energy Systems

*3 Engineering Manager, Nuclear Systems Engineering Department, Nuclear Energy Systems

*4 General Manager, Nuclear Systems Engineering Department, Nuclear Energy Systems

*5 Nuclear Systems Engineering Department, Nuclear Energy Systems

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INL is a U.S. Department of Energy National Laboratory operated by Battelle Energy Alliance, LLC

INL/CON-24-76340-Revision-0

Digital Twin Enabling

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Technologies for Online

Condition Monitoring of

Nuclear Power Plant

Components

June 2024

Edward Chen, Vaibhav Yadav, Vivek Agarwal

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UK EDITION

DIGITAL IN

NUCLEAR: OUR

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VISION FOR 2035

POWERING CHANGE FOR A SUSTAINABLE FUTURE

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Digital twin challenges and opportunities for nuclear fuel manufacturing applications