Uranium plant identification using correlation methods

Simple item page
dc.contributor.advisorMcLaren, S Gen_ZA
dc.contributor.authorBraae, Martinen_ZA
dc.date.accessioned2016-10-18T11:26:53Z
dc.date.available2016-10-18T11:26:53Z
dc.date.issued1974en_ZA
dc.description.abstractTheory relating to identification of an uranium plant using on-line correlation techniques is described. Generation and properties of pseudorandom ternary m-sequences are discussed, particular attention being given to selection of a suitable sequence for testing a system. The geometry and control policy of the uranium plant is outlined and existing and experimental equipment required for realizing perturbation of the plant is considered. A theoretical model of the plant is studied to detect effects that might adversely affect the experimental results. Programs written to evaluate correlation functions and for general data handling are briefly outlined. The pseudo-random ternary m-sequence noise is selected with reference to the plant characteristics as deduced from plant records. Results of pilot tests enabled the pseudo-noise to be correctly selected for the main test. All tests and their results are briefly described. Finally, the analytic and empiric models of the plant are derived and the validity of the model obtained from the correlation method is tested by comparing theoretical predictions with experimental observations.en_ZA
dc.identifier.apacitationBraae, M. (1974). <i>Uranium plant identification using correlation methods</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/22164en_ZA
dc.identifier.chicagocitationBraae, Martin. <i>"Uranium plant identification using correlation methods."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1974. http://hdl.handle.net/11427/22164en_ZA
dc.identifier.citationBraae, M. 1974. Uranium plant identification using correlation methods. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Braae, Martin AB - Theory relating to identification of an uranium plant using on-line correlation techniques is described. Generation and properties of pseudorandom ternary m-sequences are discussed, particular attention being given to selection of a suitable sequence for testing a system. The geometry and control policy of the uranium plant is outlined and existing and experimental equipment required for realizing perturbation of the plant is considered. A theoretical model of the plant is studied to detect effects that might adversely affect the experimental results. Programs written to evaluate correlation functions and for general data handling are briefly outlined. The pseudo-random ternary m-sequence noise is selected with reference to the plant characteristics as deduced from plant records. Results of pilot tests enabled the pseudo-noise to be correctly selected for the main test. All tests and their results are briefly described. Finally, the analytic and empiric models of the plant are derived and the validity of the model obtained from the correlation method is tested by comparing theoretical predictions with experimental observations. DA - 1974 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1974 T1 - Uranium plant identification using correlation methods TI - Uranium plant identification using correlation methods UR - http://hdl.handle.net/11427/22164 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/22164
dc.identifier.vancouvercitationBraae M. Uranium plant identification using correlation methods. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1974 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/22164en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleUranium plant identification using correlation methodsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMSc (Eng)en_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_ebe_1974_braae_martin.pdf
Size:
2.61 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Masters