The importance of input variables to a neural network fault-diagnostic system for nuclear power plants

dc.contributor.advisor Eric B. Bartlett
dc.contributor.author Lanc, Terry
dc.contributor.department Mechanical Engineering
dc.date 2018-08-25T00:02:39.000
dc.date.accessioned 2020-06-30T08:16:45Z
dc.date.available 2020-06-30T08:16:45Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 1992
dc.date.embargo 2013-09-27
dc.date.issued 1992
dc.description.abstract <p>This thesis explores safety enhancement for nuclear power plants. Emergency response systems currently in use depend mainly on automatic systems engaging when certain parameters go beyond a pre-specified safety limit. Often times the operator has little or no opportunity to react since a fast scram signal shuts down the reactor smoothly and efficiently. These accidents are of interest to technical support personnel since examining the conditions that gave rise to these situations help determine causality. In many other cases an automated fault-diagnostic advisor would be a valuable tool in assisting the technicians and operators to determine what just happened and why.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/208/
dc.identifier.articleid 1201
dc.identifier.contextkey 4640602
dc.identifier.doi https://doi.org/10.31274/rtd-180813-5668
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/208
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/73593
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/208/1992_LancTL_ImportanceInputVariables.pdf|||Fri Jan 14 22:28:30 UTC 2022
dc.subject.disciplines Energy Systems
dc.subject.disciplines Nuclear Engineering
dc.title The importance of input variables to a neural network fault-diagnostic system for nuclear power plants
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication 6d38ab0f-8cc2-4ad3-90b1-67a60c5a6f59
thesis.degree.level thesis
thesis.degree.name Master of Science
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