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Reliability analysis and maintenance modeling of multi-component systems subject to multiple dependent competing failure processes

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TitleInfo
Title
Reliability analysis and maintenance modeling of multi-component systems subject to multiple dependent competing failure processes
Name (type = personal)
NamePart (type = family)
Song
NamePart (type = given)
Sanling
NamePart (type = date)
1984-
DisplayForm
Sanling Song
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Coit
NamePart (type = given)
David
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David Coit
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Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Albin
NamePart (type = given)
Susan
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Susan Albin
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Luxhoj
NamePart (type = given)
James
DisplayForm
James Luxhoj
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Feng
NamePart (type = given)
Qianmei
DisplayForm
Qianmei Feng
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = personal)
NamePart (type = family)
Ramirez Marquez
NamePart (type = given)
Jose
DisplayForm
Jose Ramirez Marquez
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
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theses
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact)
2016
DateOther (qualifier = exact); (type = degree)
2016-01
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2016
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
System reliability analyses, involving multiple failure processes, are important and challenging research topics, particularly when failure processes, such as degradation processes and random shocks, are competing and dependent. When component degradation models are extended to complex systems with multiple components, different perspectives of dependency should be considered in system reliability modeling. In this research, potential dependence patterns are investigated among multiple failure processes within and among components in systems and probabilistic models are developed to assess system reliability performance. For the reliability modeling of complex systems, if one component in the system degrades or fails prematurely, it is possible that other components will also degrade or fail prematurely given the shared working environment, which means component failure times are dependent. Furthermore, if a shock arrives to the system, and its impact on one component is large, it is likely that the shock impact on other components is also large. Therefore, the models are extended to perform quantitative analyses for system reliability considering that the damages to the two failure processes caused by shocks are dependent. From a multi-component system level perspective, the dependent characteristics from shocks are complex and detailed, so the research is organized into several scenarios, i.e., dependent failure processes are considered in different ways. Stochastically dependent component degradation processes are also studied, and extended gamma process models are used to model the dependent degradation process. Based on these new reliability models, different maintenance policies are derived to provide cost effective maintenance plans. Different maintenance policies are investigated, including: (1) age replacement policies; (2) periodic inspection maintenance policies; (3) Condition-based maintenance policies; and (4) Individual component maintenance policy. This research has many meaningful research contributions. The dependent scenarios described above for shocks are studied for the first time in system reliability modeling, and it is also the initial system model based on stochastically dependent component degradation using the gamma process. Additionally, the on-condition maintenance plans and the individual component maintenance based on steady state system behavior are investigated for the first time. They represent more practical and cost effective policies for many engineering applications.
Subject (authority = RUETD)
Topic
Industrial and Systems Engineering
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6995
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiii, 159 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Reliability (Engineering)
Subject (authority = ETD-LCSH)
Topic
Failure analysis (Engineering)
Note (type = statement of responsibility)
by Sanling Song
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3JQ1338
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Song
GivenName
Sanling
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-01-11 13:08:40
AssociatedEntity
Name
Sanling Song
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 (ID = TECHNICAL1)
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ETD
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windows xp
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