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Problemy Fiziki, Matematiki i Tekhniki (Problems of Physics, Mathematics and Technics), 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
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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.
Received: 05.04.2013
Document Type: Article
UDC: 004.891.3+004.93.11
Language: Russian
Citation: D. I. Kuznetsov, A. I. Kupin, “Method of identification of electrical motor with the use of neural networks”, PFMT, 2013, no. 3(16), 97–99
Citation in format AMSBIB
\Bibitem{KuzKup13}
\by D.~I.~Kuznetsov, A.~I.~Kupin
\paper Method of identification of electrical motor with the use of neural networks
\jour PFMT
\yr 2013
\issue 3(16)
\pages 97--99
\mathnet{http://mi.mathnet.ru/pfmt261}
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