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JOURNALS // Problemy Fiziki, Matematiki i Tekhniki (Problems of Physics, Mathematics and Technics) // Archive

PFMT, 2013 Issue 3(16), Pages 97–99 (Mi pfmt261)

TECHNICS

Method of identification of electrical motor with the use of neural networks

D. I. Kuznetsov, A. I. Kupin

Krivoy Rog National University, Krivoy Rog, Ukraine

Abstract: Different kinds of malfunction or damage of the parts may occur in the operation of electrical equipment. It is therefore very important to detect defects in the early stages. The paper presents the method of identification of electrical equipment on the basis of the analysis of the products current. The results of experimental tests are given.

Keywords: identification, spectral noise, high harmonic, neural network.

UDC: 004.891.3+004.93.11

Received: 05.04.2013



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