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Ingeniare. Revista chilena de ingeniería

versión On-line ISSN 0718-3305

Resumen

GONDRES TORNE, Israel; LAJES CHOY, Santiago  y  DEL CASTILLO SERPA, Alfredo. Partial maintenance to high voltage breakers management model using artificial intelligence. Ingeniare. Rev. chil. ing. [online]. 2018, vol.26, n.3, pp.391-397. ISSN 0718-3305.  http://dx.doi.org/10.4067/S0718-33052018000300391.

In this paper, a model for the management of partial maintenance to high voltage breakers is proposed, regarding the integration of different variables that have some degree of uncertainty (visual inspection, historical data, wear of the main contacts) through the Fuzzy Rough Sets Theory tool. Therefore, that is the basis for the creation of a new maintenance management model. The model consists of four subsystems: operational contextual subsystem, experiential perceptual subsystem, high voltage breaker diagnosis subsystem, and finally, another subsystem that is responsible for making accurate decisions. All subsystems are dialectically interrelated. Moreover, the regularities, fundamentals, and steps of the proposed model are presented in a way that can be implemented in any substation that has the necessary data.

Palabras clave : Artificial intelligence; high voltage breaker; maintenance management; maintenance model.

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