Observer-biased bearing condition monitoring: From fault detection to multi-fault classification

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dc.contributor.authorChuan Li
dc.contributor.authorJosé Valente de Oliveira
dc.contributor.authorMariela Cerrada
dc.contributor.authorFannia Pacheco
dc.contributor.authorDiego Cabrera
dc.contributor.authorRené–Vinicio Sánchez
dc.contributor.authorGrover Zurita
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:06:19Z
dc.date.available2026-03-22T14:06:19Z
dc.date.issued2016
dc.descriptionCitaciones: 55
dc.identifier.doi10.1016/j.engappai.2016.01.038
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2016.01.038
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/44567
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.sourceChongqing Technology and Business University
dc.subjectComputer science
dc.subjectCluster analysis
dc.subjectData mining
dc.subjectFuzzy clustering
dc.subjectFault detection and isolation
dc.subjectDomain knowledge
dc.subjectFuzzy logic
dc.subjectPattern recognition (psychology)
dc.subjectArtificial intelligence
dc.subjectAlgorithm
dc.titleObserver-biased bearing condition monitoring: From fault detection to multi-fault classification
dc.typearticle

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