Development of a Severity Measure for Fault Tree Analysis and an Intuitive Fault Tree Analysis Software Prototype.

Simple item page
dc.contributor.advisorDavid Kaber, Chair
dc.contributor.advisorRussell King, Member
dc.contributor.advisorKaren Chen, Member
dc.contributor.advisorJing Feng, Minor
dc.contributor.advisorRonald Endicott, Graduate School Representative
dc.contributor.authorLau, Mei Ying
dc.date.accepted2019-04-12
dc.date.accessioned2019-04-13T12:30:47Z
dc.date.available2019-04-13T12:30:47Z
dc.date.defense2019-03-25
dc.date.issued2019-03-25
dc.date.released2019-04-13
dc.date.reviewed2019-04-04
dc.date.submitted2019-04-04
dc.degree.disciplineIndustrial Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg15791
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/36509
dc.rights
dc.titleDevelopment of a Severity Measure for Fault Tree Analysis and an Intuitive Fault Tree Analysis Software Prototype.

Files

Original bundle

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

Collections

Dissertations