Probabilistic Prognostics and Health Management for Fatigue-critical Components using High-fidelity Models.

dc.contributor.advisorFuh-Gwo Yuan, Chair
dc.contributor.advisorDr. John A. Newman, External
dc.contributor.advisorJeffrey Eischen, Member
dc.contributor.advisorXiaoning Jiang, Member
dc.contributor.advisorRalph Smith, Member
dc.contributor.authorLeser, Patrick Edward
dc.date.accepted2017-11-16
dc.date.accessioned2017-11-29T13:32:34Z
dc.date.available2017-11-29T13:32:34Z
dc.date.defense2017-10-27
dc.date.issued2017-10-27
dc.date.released2017-11-29
dc.date.reviewed2017-11-03
dc.date.submitted2017-11-02
dc.degree.disciplineAerospace Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg7524
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/34868
dc.rights
dc.titleProbabilistic Prognostics and Health Management for Fatigue-critical Components using High-fidelity Models.

Files

Original bundle

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

Collections