Abstract

CORRALES BARRIOS, Luis  and  RAMIREZ VAZQUEZ, Alexei. Faults classification with neuronal networks for electrogen groups. Energética [online]. 2013, vol.34, n.2, pp. 137-150. ISSN 1815-5901.

With the increment of the grade of dependence of the modern society of the systems and complex technological processes, their readiness and correct operation they have become a strategic question, where the tasks of diagnostic and classification of shortcomings plays a very important list with the purpose of to guarantee and to maintain in operation it continues and reliable to the process. The shortcomings can cause from a reduction of the acting until a damage that causes stopped in the production. The distributed generation of electric power through the groups installed, is not unaware to suffer shortcomings. This work has as objective the development of a system for the diagnosis and classification of shortcomings for the Diesel unit of motors (MTU) of the Location of Grupo Electrógeno Camagüey 1. The proposed solution constitutes a tool to evaluate the application of preventive maintenance before the occurrence of a failure.

Keywords : electric central; reliability; detection of faults; diagnostic; artificial intelligence.

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