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Modeling the effects of the two stochastic-processes on the reliability and maintenance of k-out-of-n surveillance systems

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TitleInfo
Title
Modeling the effects of the two stochastic-processes on the reliability and maintenance of k-out-of-n surveillance systems
Name (type = personal)
NamePart (type = family)
Zhang
NamePart (type = given)
Yao
NamePart (type = date)
1985-
DisplayForm
Yao Zhang
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Pham
NamePart (type = given)
Hoang
DisplayForm
Hoang Pham
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Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
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Elsayed
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Elsayed
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Elsayed Elsayed
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Jeong
NamePart (type = given)
Myong
DisplayForm
Myong Jeong
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Chaovalitwongse
NamePart (type = given)
Wanpracha Art
DisplayForm
Wanpracha Art Chaovalitwongse
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
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2014
DateOther (qualifier = exact); (type = degree)
2014-05
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Surveillance systems, including security cameras, have been widely used to monitor some critical processes and enhance the safety-security level of high-risk large-scale security systems. The failure of these systems should be analyzed and associated with the intrusion/incident arrival process in order to achieve a comprehensive representation of the system outcomes. This thesis aims to model the effects of the two stochastic processes on the reliability modeling of the surveillance systems. The two processes are: (1) the traditional system failure process (first process) and (2) the intrusion/incident arrival process or the demand process (second process). In this research we develop reliability models with considerations of the two stochastic-processes for the k-out-of-n surveillance systems. The first model considers the undetectable failures of each subsystem along with the random environmental factors, the skill factor of the intruders to avoid detection, and a periodic inspection maintenance aspect. The second model includes both the detectable and undetectable failure modes for the subsystems. The reliability of the system is derived with a consideration of an opportunistic maintenance policy. Numerical examples are given to demonstrate the validity of the modeling and the sensitivity of various model parameters. We also develop a cost model with considerations of both the detectable and undetectable failure modes for the subsystems. We then obtain the opportunistic maintenance policy that minimizes the total system cost based on the second model. We also extend the second reliability model by considering the fail-safe error for each subsystem in the two-process modeling of the k-out-of-n surveillance systems. Numerical examples are discussed to illustrate the model developments and results.
Subject (authority = RUETD)
Topic
Industrial and Systems Engineering
Subject (authority = ETD-LCSH)
Topic
Electronic surveillance
Subject (authority = ETD-LCSH)
Topic
Failure analysis (Engineering)
Subject (authority = ETD-LCSH)
Topic
Video surveillance
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5455
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
xii, 136 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Yao Zhang
Subject (authority = ETD-LCSH)
Topic
Stochastic processes
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/T36T0JZD
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
Zhang
GivenName
Yao
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2014-04-12 00:51:05
AssociatedEntity
Name
Yao Zhang
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
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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ETD
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windows xp
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