Show simple item record

dc.contributor.advisorWood, R. Kevin
dc.contributor.authorMcCullers, William T. III
dc.dateJune 1985
dc.date.accessioned2012-11-27T00:02:28Z
dc.date.available2012-11-27T00:02:28Z
dc.date.issued1985-06
dc.identifier.urihttp://hdl.handle.net/10945/21500
dc.descriptionApproved for public release; distribution is unlimited
dc.description.abstractAn algorithm is presented for computing the exact failure probability for binary systems represented as fault trees. This algorithm does not rely on cut sets. Instead, it applies recursive pivotal decomposition together with probabilistic structural reductions and modularization directly to the fault tree. A further capability of the algorithm is the sequential printing of equations to form a function for a specific fault tree which computes system failure probability given the basic event probabilities.
dc.description.urihttp://archive.org/details/probabilisticana00mccu
dc.format.extent68 p.en_US
dc.language.isoen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
dc.subject.lcshOperations researchen_US
dc.titleProbabilistic analysis of fault trees using pivotal decomposition.en_US
dc.typeThesisen_US
dc.contributor.secondreaderEsary, James D.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentOperations Research (OR)
dc.subject.authorfault tree
dc.subject.authorpivotal decomposition
dc.subject.authorsystem failure probability
dc.subject.authorreliability
dc.subject.authorbinary systems
dc.description.serviceMajor, United States Marine Corps
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record