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Reliability estimation of systems with spatially distributed units

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TitleInfo
Title
Reliability estimation of systems with spatially distributed units
Name (type = personal)
NamePart (type = family)
Hua
NamePart (type = given)
Dingguo
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Dingguo Hua
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author
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Elsayed A.
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Elsayed A. Elsayed
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Advisory Committee
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chair
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Albin
NamePart (type = given)
Susan L.
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Susan L. Albin
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Advisory Committee
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internal member
Name (type = personal)
NamePart (type = family)
Pham
NamePart (type = given)
Hoang
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Hoang Pham
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Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Cabrera
NamePart (type = given)
Javier
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Javier Cabrera
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Advisory Committee
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outside member
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Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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NamePart
Graduate School - New Brunswick
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school
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Text
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theses
OriginInfo
DateCreated (qualifier = exact)
2016
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2016-10
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2016
Place
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xx
Language
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eng
Abstract (type = abstract)
Systems with spatially distributed units, e.g. Unmanned Aerial Vehicle (UAV), are emerging in aerospace and military industries. In this dissertation, we present approaches for the reliability estimation of such systems. In particular, we consider k-out-of-n pairs:G Balanced systems and weighted-c-out-of-n pairs:G Balanced systems with spatially distributed units which must meet balance requirements. We first estimate the reliability metrics for k-out-of-n pairs:G Balanced systems by considering systems as failed when unbalanced system states occur. We further investigate such systems by balancing unbalanced states: When unbalanced states occur, the system is balanced by forcing down one or more operating pairs into standby. The reliability estimation is computationally expensive for such systems with a large number of units. Therefore, we develop an efficient approach for reliability approximation with high accuracy based on Monte Carlo simulation. Also, we investigate the system reliability further by assuming that the units are subject to degradation. In many situations, units exhibit degradation that can be monitored. We model the degradation path of any unit based on collected observations of the degradation indicator and its physics-based or statistics-based degradation rate. We consider the effect of units’ operating conditions on their degradation paths. Moreover, available system capacity is an important indicator of a system's condition. A system fails when its capacity drops below a minimum value. We estimate the reliability metrics of weighted-c-out-of-n pairs:G Balanced systems, which considers the capacities of individual units. We investigate the problem in two scenarios: First, we assume that the capacity of any unit has multiple levels. Second, we assume that the capacity of any unit has two levels (either working or failed) whereas different units may have different capacities. In the second scenario, we consider load-sharing effect. Furthermore, optimal design for systems with spatially distributed units is the key to maximizing the reliability of the systems given the constraints such as the upper bound for the total number of units and load-sharing effect. We study the optimal configuration that maximizes the system reliability metrics.
Subject (authority = RUETD)
Topic
Industrial and Systems Engineering
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
Identifier
ETD_7602
PhysicalDescription
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electronic resource
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application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xviii, 237 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Reliability
Note (type = statement of responsibility)
by Dingguo Hua
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3TX3HP5
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Hua
GivenName
Dingguo
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-09-21 09:30:12
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Name
Dingguo Hua
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Affiliation
Rutgers University. Graduate School - New Brunswick
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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.
RightsEvent
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2017-10-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 31st, 2017.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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