Condition Monitoring of Nuclear Equipment-Piping using Deep Learning

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dc.contributor.authorHarleen Kaur Sandhu (North Carolina State University, Raleigh)
dc.contributor.authorSaran Srikanth Bodda (North Carolina State University, Raleigh)
dc.contributor.authorSerena Sauers (North Carolina State University, Raleigh)
dc.contributor.authorAbhinav Gupta (North Carolina State University, Raleigh)
dc.date.accessioned2023-04-12T01:14:00Z
dc.date.available2023-04-12T01:14:00Z
dc.date.issued2022-07-10
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40604
dc.publisherIASMiRT
dc.relation.ispartofseriesD08 - Issues Related to Operation, Inspection and Maintenance
dc.relation.ispartofseriesD08-We.4.F - D08 - Inspection and monitoring methods
dc.relation.ispartofseries00 - SMiRT 26 - Berlin/Potsdam, Germany. July 10-15, 2022
dc.titleCondition Monitoring of Nuclear Equipment-Piping using Deep Learning
dc.typeConference Proceeding

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2022 - SMiRT 26 - Berlin/Potsdam, Germany