The US Navy has increased interest in the reliability of aircraft launching and recovery equipment. Data is readily available and failure time distributions can be estimated; however, the aircraft equipment will not be operated with the same stress profile in the future as the data provided. In fact, the US Navy will increase the stress profile on the equipment by incorporating heavier aircraft into the fleet, while downsizing the lighter aircrafts. This creates an uncertain stress profile the aircraft carrier systems will be subjected to. Since the composition of the fleet is uncertain, determining reliability and component redundancy and/or replacement is difficult. Thus, new models and optimization algorithms are proposed involving data analysis at the component-level based on Weibull shape parameters modeled after using a general log-linear model based on the mean and variance of critical stress measures in a changing environment, and Weibull shape parameters modeled using a general log-linear model based on the distributional form of critical stress measures in a changing environment. Traditional system reliability considers a set of failure data which is analyzed to estimate a failure time distribution. This failure time distribution can be utilized to estimate reliability at some point in time. This thesis pertains to design problems with a probabilistic future stress profile, but using models based upon the current failure data. Since a future stress profile can be probabilistic and distinctly different, the traditional system reliability model will be unable to estimate future reliability from the existing failure data. Instead an estimate of the future failure time distribution must be made utilizing accelerated life concepts, and the optimal component reliability becomes difficult to determine. Depending on the level of usage, the optimal component redundancy might change. This research project tries to develop a heuristic for system reliability optimization considering a probabilistic future stress profile in which the stresses can increase to different levels. A failure time distribution will be determined for each system component as a function of usage stress distribution. The component models are then assembled into a system model. This system model will test different composition of fleet data based upon different probabilities. Although these probabilities are ambiguous it is certain that the stress profiles will increase. This system model was tested to see what optimal preventative maintenance or component replacement can be done in the present so that the unknown future stress profile will not cause high costs in maintenance and replacement parts.
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_4973
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
ix, 71 p. : ill.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Akira Hada
Subject (authority = ETD-LCSH)
Topic
Reliability (Engineering)
Subject (authority = ETD-LCSH)
Topic
Military engineering
Subject
Name (authority = LC-NAF)
NamePart (type = corporate)
United States.--Navy--Supplies and stores
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)
Rutgers University. Graduate School - New Brunswick
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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.