Intelligent Data Analysis to Calculate the Operational Reliability Coefficient

被引:4
作者
Morales Tabares, Zoila Esther [1 ]
Cabrera Campos, Alcides [1 ]
Vazquez Silva, Efren [2 ]
Infante Milanes, Roberto Antonio [1 ]
机构
[1] Univ Informat Sci, Havana, Cuba
[2] Salesian Polytech Univ, Cuenca City, Ecuador
来源
PROGRESS IN ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION, IWAIPR 2018 | 2018年 / 11047卷
关键词
Medical equipment; Failure patterns; Risks; Operational reliability coefficient; Algorithm;
D O I
10.1007/978-3-030-01132-1_8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:68 / 76
页数:9
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