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International Workshop on Artificial Intelligence and Pattern Recognition

IWAIPR 2018: Progress in Artificial Intelligence and Pattern Recognition pp 68–76Cite as

Intelligent Data Analysis to Calculate the Operational Reliability Coefficient

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11047))

Abstract

Nowadays 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.

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Author information

Authors and Affiliations

  1. University of the Informatics Sciences, Havana City, Cuba

    Zoila Esther Morales Tabares, Alcides Cabrera Campos & Roberto Antonio Infante Milanés

  2. Salesian Polytechnic University, Cuenca City, Ecuador

    Efrén Vázquez Silva

Authors
  1. Zoila Esther Morales Tabares
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  2. Alcides Cabrera Campos
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  3. Efrén Vázquez Silva
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  4. Roberto Antonio Infante Milanés
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Corresponding author

Correspondence to Zoila Esther Morales Tabares .

Editor information

Editors and Affiliations

  1. Universidad de las Ciencias Informáticas, Havana, Cuba

    Yanio Hernández Heredia

  2. Universidad de las Ciencias Informáticas, Havana, Cuba

    Vladimir Milián Núñez

  3. Universidad de las Ciencias Informáticas, Havana, Cuba

    José Ruiz Shulcloper

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Morales 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_8

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  • DOI: https://doi.org/10.1007/978-3-030-01132-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01131-4

  • Online ISBN: 978-3-030-01132-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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