DOI: 10.18503/2311-8318-2016-3(32)-39-43

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Abstract

An urgent task is to develop forecasting systems of technical condition of ship electric power plant transformers. One solution to the problem is to use artificial neural networks. For the first time a comprehensive approach based on artificial neural networks was offered to the determination of the degree of efficiency of transformers at shipboard electric power plants. The results can be the basis for a new system of forecasting of technical condition of ship electric power plant transformers.

Keywords

Neuro-fuzzy network, transformer, electricity installation, diagnosis, degree of efficiency.

Aleksey S. Steklov

Post-Graduate Student, department of Electrical equipment, electric drive and automation, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, Nizhniy Novgorod, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

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