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dc.contributor.authorMarais, C.
dc.contributor.authorAldrich, Chris
dc.contributor.editorC Marais
dc.contributor.editorC Aldrich
dc.date.accessioned2017-01-30T12:33:03Z
dc.date.available2017-01-30T12:33:03Z
dc.date.created2014-11-19T01:13:54Z
dc.date.issued2010
dc.identifier.citationMarais, C. and Aldrich, C. 2010. The Relationship between Froth Image Features and Platinum Flotation Grade, in C Marais, C Aldrich (ed), The 13th Symposium on Automation in Mining, Mineral and Metal Processing, Aug 2 2010, pp. 104-108. Cape Town, South Africa: Elsevier.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/22692
dc.description.abstract

Many endeavors have been made attempting to relate froth appearance to key performanceindicators such as grade and recovery. The platinum industry have questioned the possibility of doing this based on the results of simple models trying to relate physical features (e.g. bubble size) to grade.In this study a fractional factorial design of laboratory experiments were conducted using platinum ore.The flowrate (x1), pulp level (x2), collector (x3), activator (x4), frother (x5) and depressant (x6) werevaried for each experiment and videos were recorded of the froth. The analysis of the videos rendered 20texture features from each image.The non-linear relationship between the froth texture features and grade were investigated using kernelFisher Discriminant Analysis (kFDA). The results indicate that these features could be sufficient as input into advanced model based control systems for PGM flotation plants. Multivariate linear regressionconfirmed the hypothesis and performed very well when the kFDA features are used as predictors.

dc.publisherElsevier
dc.subjectMachine Vision
dc.subjectProcess Monitoring
dc.subjectFlotation
dc.subjectModelling
dc.subjectImage Analysis
dc.titleThe Relationship between Froth Image Features and Platinum Flotation Grade
dc.typeConference Paper
dcterms.source.startPage104
dcterms.source.endPage108
dcterms.source.titleProceedings of the 13th Symposium on Automation in Mining, Mineral and Metal Processing
dcterms.source.seriesProceedings of the 13th Symposium on Automation in Mining, Mineral and Metal Processing
dcterms.source.conferenceThe 13th Symposium on Automation in Mining, Mineral and Metal Processing
dcterms.source.conference-start-dateAug 2 2010
dcterms.source.conferencelocationCape Town, South Africa
dcterms.source.placeAmsterdam
curtin.accessStatusFulltext not available


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