Detección y diagnóstico de fallas utilizando la transformada wavelet

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dc.contributor.authorMarcos Guillén
dc.contributor.authorL Q José Paredes
dc.contributor.authorÓscar Camacho
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:47:48Z
dc.date.available2026-03-22T15:47:48Z
dc.date.issued2004
dc.descriptionCitaciones: 3
dc.description.abstractThis paper presents an approach to analyze different kinds of chemical process instrumentation faults. The proposed approach makes a detection and diagnosis of the instrument worsening in the process. To differentiate valve and transmitter problems an analysis in the wavelet domain is presented along with pattern recognition procedures, such as correlation coefficient and Euclidean distance approaches.
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/54461
dc.language.isoes
dc.sourceUniversidad de Los Andes
dc.subjectWavelet
dc.subjectArtificial intelligence
dc.subjectComputer science
dc.subjectPattern recognition (psychology)
dc.subjectDomain (mathematical analysis)
dc.subjectProcess (computing)
dc.subjectMathematics
dc.subjectComputer vision
dc.titleDetección y diagnóstico de fallas utilizando la transformada wavelet
dc.typearticle

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