A data-driven approach to the development of a supervisory control system for an industrial semi-autogenous grinding circuit
dc.contributor.author | Leon, Revocatus Xolile | |
dc.contributor.other | Stellenbosch University. Faculty of . Dept. of . | |
dc.date.accessioned | 2012-08-27T11:34:20Z | |
dc.date.available | 2012-08-27T11:34:20Z | |
dc.date.issued | 1999 | |
dc.description | Thesis (M.Ing.) -- University of Stellenbosch, 1999. | |
dc.description | Full text to be digitised and attached to bibliographic record. | |
dc.format.extent | 91 leaves : ill. | |
dc.identifier.uri | http://hdl.handle.net/10019.1/51101 | |
dc.language.iso | en_ZA | |
dc.publisher | Stellenbosch : Stellenbosch University | |
dc.rights.holder | Stellenbosch University | |
dc.subject | Metallurgical plants | |
dc.subject | Mills and mill-work | |
dc.subject | Autogenous grinding | |
dc.subject | Dissertations -- Chemical engineering | |
dc.subject | SAG mill | |
dc.subject | Semi-autogenous grinding mill | |
dc.title | A data-driven approach to the development of a supervisory control system for an industrial semi-autogenous grinding circuit | |
dc.type | Thesis |