Acoustic signal characterization of a ball milling machine model

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dc.contributor.authorJ. Alexis Andrade-Romero
dc.contributor.authorJesus Franklin Andrade Romero
dc.contributor.authorMauricio Améstegui
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:24:50Z
dc.date.available2026-03-22T14:24:50Z
dc.date.issued2011
dc.descriptionCitaciones: 4
dc.description.abstractLos Angeles machine is used both for mining process and for standard testing covering strength of materials. As the present work is focused on the latter application, an improvement in the estimation procedure for the resistance percentage of small-size coarse aggregate is presented. More precisely, is proposed a pattern identification strategy of the vibratory signal for estimating the resistance percentage using a simplified chaotic model and the continuous wavelet transform.
dc.identifier.doi10.1088/1742-6596/285/1/012047
dc.identifier.urihttps://doi.org/10.1088/1742-6596/285/1/012047
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/46368
dc.language.isoen
dc.publisherIOP Publishing
dc.relation.ispartofJournal of Physics Conference Series
dc.sourceUniversidade Federal do ABC
dc.subjectChaotic
dc.subjectWavelet
dc.subjectComputer science
dc.subjectSIGNAL (programming language)
dc.subjectBall (mathematics)
dc.subjectAggregate (composite)
dc.subjectSignal processing
dc.subjectIdentification (biology)
dc.subjectWavelet transform
dc.subjectAlgorithm
dc.titleAcoustic signal characterization of a ball milling machine model
dc.typearticle

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