Detection and identification of ore grindability in a semiautogenous grinding circuit model using wavelet transform variances of measured variables

dc.date.accessioned2016-12-05T15:36:08Z
dc.date.available2016-12-05T15:36:08Z
dc.date.created2016-12-05T15:36:08Z
dc.date.issued2008
dc.identifier0301-7516
dc.identifierhttp://hdl.handle.net/10533/142300
dc.identifier1020741
dc.identifierWOS:000262011000008
dc.languageeng
dc.publisherELSEVIER SCIENCE BV
dc.relationhttps://doi.org/10.1016/j.minpro.2008.09.002
dc.relation10.1016/j.minpro.2008.09.002
dc.relationinfo:eu-repo/grantAgreement/Fondecyt/1020741
dc.relationinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleDetection and identification of ore grindability in a semiautogenous grinding circuit model using wavelet transform variances of measured variables
dc.typeArticulo


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