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Development and application of covariate based reliability models
Descriptive
TitleInfo
Title
Development and application of covariate based reliability models
SubTitle
utilizing constrained maximum likelihood optimization
Name
(type = personal)
NamePart
(type = family)
Kosaka
NamePart
(type = given)
Robert
DisplayForm
Robert Kosaka
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Coit
NamePart
(type = given)
David W.
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David W. Coit
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Luxhoj
NamePart
(type = given)
James T.
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James T. Luxhoj
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Baykal-Gursoy
NamePart
(type = given)
Melike
DisplayForm
Melike Baykal-Gursoy
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Graduate School - New Brunswick
Role
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(authority = RULIB)
school
TypeOfResource
Text
Genre
(authority = marcgt)
theses
OriginInfo
DateCreated
(qualifier = exact)
2013
DateOther
(qualifier = exact);
(type = degree)
2013-05
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
In this research, a difficult yet practical problem of modeling failures as functions of stress profiles was addressed. Failures, both system and component based, can in many cases be explained in terms of the stresses experienced. These stresses are crucial in understanding the reliability of the component or system. If the underlying stresses can be determined, it becomes possible to create reliability models that incorporate them. In many cases reliability models can be made independent of stresses or in terms of a single stress. In this scenario the process of building the respective reliability model is not complex. These simple scenarios that have a limited number of stresses do not necessarily demand a rigid algorithm. When creating a reliability model for a single, or perhaps a system that experiences two stresses, trial-and-error is sufficient. Problems arise however when a system undergoes an excessive number of different stresses. These stresses all impact the system differently, and thus they must be modeled accordingly. Such a trial-and-error method would not be practical or appropriate. The primary goal of this research is to develop algorithms that can systemically approach these situations. In the case of the research, the system under study experiences a variable load profile. This algorithm aims to create an approach that can accurately capture the system reliability, while factoring in the system stresses. US Navy NAVAIR, in recent time, has had an increased interest in studying system and component reliability. This is in part due to the large amount of resources that corrective actions and preventative maintenance require. These failures however, are based on the current system stress profile. Currently, the Navy has plans for a changing stress profile, as there will be a change in air wing composition. This changing stress profile is predicted to negatively impact system reliability. It is possible however, to create predictive models using the current and past failure data. This modeling approach utilizes a two parameter Weibull distribution to account for a changing stress profile. Inputs into this model are the anticipated composition of the naval air wing.
Subject
(authority = RUETD)
Topic
Industrial and Systems Engineering
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_4661
PhysicalDescription
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electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
x, 71 p. : ill.
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Robert Kosaka
Subject
(authority = ETD-LCSH)
Topic
Reliability (Engineering)--Statistical methods
Subject
(authority = ETD-LCSH)
Topic
System failures (Engineering)
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000068899
RelatedItem
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
Location
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3NC5ZR4
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Kosaka
GivenName
Robert
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2013-04-12 16:22:21
AssociatedEntity
Name
Robert Kosaka
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
RULTechMD
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ContentModel
ETD
OperatingSystem
(VERSION = 5.1)
windows xp
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Statistical Profile