Resumen

GONDRES TORNE, Israel; LAJES CHOY, Santiago Eduardo; RODRIGUEZ LEON, Nervelio  y  DEL CASTILLO SERPA, Alfredo. Machine learning applied to the maintenance in high voltage breaker. Energética [online]. 2014, vol.35, n.2, pp.149-158. ISSN 1815-5901.

Themaintenancemanagementinelectricalsubstationsovertheyearshasevolvedaccordingto the measurement equipment and the electrical parameters of global maintenance philosophies,andinparticularthehighvoltagebreakershavenotbeenleftbehind. This paper is such advances from a different vision, artificial intelligence, specifically machinelearning for decision-making in planning maintenance highvoltagebreakersused in a substation.It determines the rate of deterioration, the coefficients of importance of each type of the deterioration and the high voltage breaker element with the help of experts.Subsequently are obtained the membership rates with the corresponding processes for fuzzification and defuzzification;finally the rule evaluation and defuzzification for the time maintenance is performed, the method is appliance in different highvoltage breakers.

Palabras clave : high voltage breakers; machine learning; maintenance.

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