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Uranium plant identification using correlation methods
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 po...
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2016
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| _version_ | 1867613146286391296 |
|---|---|
| access_status_str | Open Access |
| author | Braae, Martin |
| author2 | McLaren, S G |
| author_browse | Braae, Martin McLaren, S G |
| author_facet | McLaren, S G Braae, Martin |
| author_sort | Braae, Martin |
| collection | Thesis |
| description | 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. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/22164 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:30.019Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/22164 Uranium plant identification using correlation methods Braae, Martin McLaren, S G Electrical Engineering 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. 2016-10-18T11:26:53Z 2016-10-18T11:26:53Z 1974 Master Thesis Masters MSc (Eng) http://hdl.handle.net/11427/22164 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Braae, Martin Uranium plant identification using correlation methods |
| thesis_degree_str | Master's |
| title | Uranium plant identification using correlation methods |
| title_full | Uranium plant identification using correlation methods |
| title_fullStr | Uranium plant identification using correlation methods |
| title_full_unstemmed | Uranium plant identification using correlation methods |
| title_short | Uranium plant identification using correlation methods |
| title_sort | uranium plant identification using correlation methods |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/22164 |
| work_keys_str_mv | AT braaemartin uraniumplantidentificationusingcorrelationmethods |