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dc.contributor.authorMorales Tabares, Zoila Esther-
dc.contributor.authorCabrera Campos, Alcides-
dc.contributor.authorVázquez Silva, Efrén-
dc.contributor.authorInfante Milanés, Roberto Antonio-
dc.coverage.spatial7004624en_US
dc.date.accessioned2021-06-30T14:28:38Z-
dc.date.available2021-06-30T14:28:38Z-
dc.date.issued2018-
dc.identifier.citationMorales Tabares Z.E., Cabrera Campos A., Vázquez Silva E., Infante Milanés R.A. (2018) Intelligent Data Analysis to Calculate the Operational Reliability Coefficient. In: Hernández Heredia Y., Milián Núñez V., Ruiz Shulcloper J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2018. Lecture Notes in Computer Science, vol 11047. Springer, Cham. https://doi.org/10.1007/978-3-030-01132-1_8en_US
dc.identifier.urihttps://repositorio.uci.cu/jspui/handle/123456789/9457-
dc.description.abstractNowadays the complexity that medical equipment has reached means that not all failure patterns can be easily managed through maintenance activities, carried out after their manufacture and commissioning. For this reason, experts in electromedicine consider that the analysis of failure patterns should be carried out with the tools of reliability engineering, since medical equipment is a technology that is not without risks. Failures in these devices are caused by risks associated mainly with operator malfunctions, impairment of the electrical fluid that causes the stopping of procedures in execution in an unexpected manner and others inherent to the technology. All these risks lead to a dynamic working behaviour of medical equipment, which passes through a finite number of states: running, faulty and broken. As part of the analysis of failure patterns in medical equipment, the CONFEM algorithm is proposed in this manuscript to determine the operational reliability coefficient.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.subjectMEDICAL EQUIPMENTen_US
dc.subjectFAILURE PATTERNSen_US
dc.subjectRISKS OPERATIONAL RELIABILITY COEFFICIENTen_US
dc.subjectALGORITHMen_US
dc.titleIntelligent Data Analysis to Calculate the Operational Reliability Coefficienten_US
dc.typeconferenceObjecten_US
dc.rights.holderUniversidad de las Ciencias Informáticasen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-01132-1_8-
dc.source.initialpage68en_US
dc.source.endpage76en_US
dc.source.titleUCIENCIA 2018en_US
dc.source.conferencetitleUCIENCIAen_US
Aparece en las colecciones: UCIENCIA 2018

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