Intelligent data analysis to calculate the operational reliability coefficient

Zoila Esther Morales Tabares, Alcides Cabrera Campos, Efrén Vázquez Silva, Roberto Antonio Infante Milanés

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations


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.

Original languageEnglish
Title of host publicationProgress in Artificial Intelligence and Pattern Recognition - 6th International Workshop, IWAIPR 2018, Proceedings
EditorsYanio Hernández Heredia, Vladimir Milián Núñez, José Ruiz Shulcloper
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783030011314
StatePublished - 1 Jan 2018
Event6th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2018 - Havana, Cuba
Duration: 24 Sep 201826 Sep 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11047 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2018


  • Algorithm
  • Failure patterns
  • Medical equipment
  • Operational reliability coefficient
  • Risks


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