Reactor control and transient identification by neural networks using wavelets and time-frequency atoms.

Persistent Link:
http://hdl.handle.net/10150/187336
Title:
Reactor control and transient identification by neural networks using wavelets and time-frequency atoms.
Author:
Shen, Bin.
Issue Date:
1995
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
In this dissertation, techniques that have potential applications to the digital operation of nuclear reactors are developed. A digital controller is developed to plan feasible control actions and digital transient identifiers are developed to detect unexpected events. Given an operational objective, the model based controller identifies a sequence of control actions that will fulfill the operational objective. The hazard anticipator checks the feasibility of the control. Only by means of the hazard anticipator, can the digital control system safely perform control actions without violating technical specifications and the limits of the physical system. In the controller, a precursor population meter implemented as a finite filter of the power history provides effective and accurate estimation of the delayed neutron precursor population. In this dissertation, techniques of transient identification are developed to detect unexpected events. Neural networks are used to identify different types of transients based on the distinct features extracted from the transients by matching pursuit decomposition or by shiftable wavelet transformation. The techniques have been shown to work well in extensive tests.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Nuclear engineering.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Nuclear and Energy Engineering; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Williams, J. G.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleReactor control and transient identification by neural networks using wavelets and time-frequency atoms.en_US
dc.creatorShen, Bin.en_US
dc.contributor.authorShen, Bin.en_US
dc.date.issued1995en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractIn this dissertation, techniques that have potential applications to the digital operation of nuclear reactors are developed. A digital controller is developed to plan feasible control actions and digital transient identifiers are developed to detect unexpected events. Given an operational objective, the model based controller identifies a sequence of control actions that will fulfill the operational objective. The hazard anticipator checks the feasibility of the control. Only by means of the hazard anticipator, can the digital control system safely perform control actions without violating technical specifications and the limits of the physical system. In the controller, a precursor population meter implemented as a finite filter of the power history provides effective and accurate estimation of the delayed neutron precursor population. In this dissertation, techniques of transient identification are developed to detect unexpected events. Neural networks are used to identify different types of transients based on the distinct features extracted from the transients by matching pursuit decomposition or by shiftable wavelet transformation. The techniques have been shown to work well in extensive tests.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectNuclear engineering.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineNuclear and Energy Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairWilliams, J. G.en_US
dc.contributor.committeememberGanapol, B. D.en_US
dc.contributor.committeememberHetrick, David L.en_US
dc.contributor.committeememberMarcellin, M.en_US
dc.contributor.committeememberMcNaughton, B.en_US
dc.contributor.committeememberNadel, L.en_US
dc.identifier.proquest9620396en_US
dc.identifier.oclc707935922en_US
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