Experimental Validation of Degradation in Nuclear Equipment-Piping Systems and its Detection using Deep Learning.

dc.contributor.advisorAbhinav Gupta, Co-Chair
dc.contributor.advisorSaran Srikanth Bodda, Co-Chair
dc.contributor.advisorGregory Lucier, Member
dc.contributor.authorSauers, Serena Lynn
dc.date.accepted2023-02-21
dc.date.accessioned2023-03-11T13:30:18Z
dc.date.available2023-03-11T13:30:18Z
dc.date.defense2022-12-14
dc.date.issued2022-12-14
dc.date.released2023-03-11
dc.date.reviewed2023-01-06
dc.date.submitted2022-12-15
dc.degree.disciplineCivil Engineering
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.identifier.otherdeg31859
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40712
dc.titleExperimental Validation of Degradation in Nuclear Equipment-Piping Systems and its Detection using Deep Learning.

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
44.97 MB
Format:
Adobe Portable Document Format

Collections